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    Audio Spike when loading a Neural Network node.

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    • S
      scottmire
      last edited by

      I have multiple Neural Network nodes that are wrapped in a Branch node. I am using a slider to control the branch to switch from one NN node to the next. Each NN is loaded with a model of the same guitar amp, but each model is of increasing distortion (Gain). This is all working fine, except that the first time you switch to any of the NN nodes, there is an audible audio spike (a pop, if you will). This only happens the first time. Once you have cycled through all of the NN nodes, it no longer "pops".

      I have tried using soft_bypass instead on the branch node, but I have the same problem there.

      The NN models are ADIA-X Json files and I am loading them into each NN node using the following method.

      const var tf = Engine.createNeuralNetwork("TensorFlowNetwork");
      //Loads ADIA-X JSON inot NNs
      tf.loadTensorFlowModel(MLmodel_1);

      Does anyone has any insight into how I can stop or minimize this "pop?

      A 1 Reply Last reply Reply Quote 0
      • S
        scottmire
        last edited by

        No thoughts here? I could really use some advise.
        I hate to be a pest, but this might be a dealbreaker for this project.

        1 Reply Last reply Reply Quote 0
        • A
          aaronventure @scottmire
          last edited by

          @scottmire you could use a ramp whose Gate parameter you reset every time you switch, and feed that ramp output to a gain node.

          This will kill the volume when you trigger the gate and then slowly ramp up. You can plug it into a table instead, and then into a gain node, to set the curve for the ramp up.

          This should allow you to mute the output while you're doing the switching.

          S 1 Reply Last reply Reply Quote 0
          • S
            scottmire @aaronventure
            last edited by

            @aaronventure
            Thank you so much for the response!
            The problem is that I'm simulating the "GAIN" (or distortion) knob of a guitar amp by "mapping" multiple neural network amp models (each with increasing gain) to the different levels of a "GAIN" slider. As you turn the knob, NN models are being swapped out. It needs to be seamless. Whether it's a "pop" or a brief moment of silence, it's the same problem.
            Again, it only does this once when you cycle through all of the NN models, after that, they are loaded and the "pop" goes away.

            My thinking is that, using the Branch node, only the first NN model is loaded and the rest are loaded as they are selected with the Branch node. If all of the NN nodes were outside of the Branch, they would all load at once. Is it possible to control the on/off of a node directly through script, without using a soft_bypass node?

            A 1 Reply Last reply Reply Quote 0
            • A
              aaronventure @scottmire
              last edited by

              @scottmire actually yes, see the DSPNetwork and Node APIs.

              You'll need to get a reference to the ScriptFX and the network name as well, then you can get a node reference by its ID (mouse over the node name and it'll show the ID. You can then call Node.setBypassed.

              1 Reply Last reply Reply Quote 0
              • S
                scottmire
                last edited by

                @aaronventure
                I placed the neural network node in a soft_bypass node and for the life of me, I can't seem to get a reference to the soft_bypass node. I am really struggling here....

                My network is called "theAmp" and the ID of soft_bypass node is "wrapneural1"......could you please show me how you would code the references?

                T 1 Reply Last reply Reply Quote 0
                • T
                  tomekslesicki @scottmire
                  last edited by tomekslesicki

                  I'm running into this issue, too. The problem is, it also happens on bounce, which is rather problematic. @Christoph-Hart could you please take a look at this? I believe this might be because of the subsonic noise present (denormals?) in NN networks - it needs to be filtered out, but if I'm not wrong, it creates a little spike before it gets filtered if I do it with one of the scriptnode filters.

                  1 Reply Last reply Reply Quote 0
                  • Dan KorneffD
                    Dan Korneff
                    last edited by

                    I've added a filter to remove DC offset in the Neural node and it seems to have solved this issue for me. Gonna do more testing this week to be sure.

                    Screenshot 2025-10-20 201343.png

                    Dan Korneff - Producer / Mixer / Audio Nerd

                    Christoph HartC 1 Reply Last reply Reply Quote 0
                    • Christoph HartC
                      Christoph Hart @Dan Korneff
                      last edited by

                      Can you upload (or send via PM) a neural network that exhibits this behaviour? I can take a look, it's probably a trivial issue in the reset() callback.

                      T 1 Reply Last reply Reply Quote 0
                      • T
                        tomekslesicki @Christoph Hart
                        last edited by tomekslesicki

                        @Christoph-Hart I can't share the networks sadly, but every one I load does this, and I have 12 at this point in different projects ;-) Could you please take a look at the reset thing?

                        @Dan-Korneff sounds pomising!

                        Christoph HartC 1 Reply Last reply Reply Quote 0
                        • Christoph HartC
                          Christoph Hart @tomekslesicki
                          last edited by

                          @tomekslesicki you can send them to me via email or check if that also happens with the dummy networks I posted in the tutorial repo.

                          I don‘t really feel like training a network just to reproduce this issue as I‘ve never used this feature besides the hello world implementation.

                          T 1 Reply Last reply Reply Quote 0
                          • T
                            tomekslesicki @Christoph Hart
                            last edited by

                            @Christoph-Hart here's a snippet @Dan-Korneff posted a while ago - it spikes like crazy:

                            HiseSnippet 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Afg12.wJf6n1K5tqmaClyxAxE0FZvnYeeoCHhDspoX9aJw819HSTJxJjj.OmYZFroawfejdoBTnnQQ6eLJMxApfKqzzTdvCYskMQzCelLDSUJO5TQIsGMqS.ltdNoX.x1I.ItVMcVPKWx7LuOFwdu8kRboczJ0I8Xqys6yBRgtzTNYM5ZbcKNLXiDERL.DeTug01Z+HahxyMspUI7s0F5IeDxaF.dDjn1G95nKerijbqQiDMk2hBhTAlGJ5jkaGcixF.fGU1oJ3ts1jZfLxL.zTaSJNjvB1Lo77M4Ij.e1WjxFnhD.zuXLi1tuqFEtSeHkisjqwqZKGkj.nkK+wi8mUNXbSHlwF1RMgDzwHPYIG7J5jwtTSSuqNlP80J5IG7et8imdOz.qPKp0lou7oIXJW4p2oB4lDdkwb42QAWpP8SDi49ifKhgADvImwKGNqvXQmYUHScQLglTxbBQl45ATHb8e6XLo7jo.CP66PafjTskVgyI6iFj6Jibr+LKC50gxQvLtP.jRkxc3s2hdjhreEy1VBj83K.fRqQ1Dz9+xXucTlXuor9qM9G66p7ozZj+OEy3g9EVyj4XkxjgqkCVSiciZfjYllqDPKZXlXtB0krCdWT5Gy6qDG0o0QA3.NlLsDl59efGM8RLCTTGJ108nMVwvbbvj.ModsIyMmy2UlQxCdsWMsQ5ftjon909jQLkVcSkYn6M3bgQFJs0lN8YQgXRyT4jvzLybU84rOiX1nnvtb25TCyTTxf49W5.3+9hjH0RxdCoLZjIldIhvLcXl9R.2mrLtNMslU25bEXxwrsIeg.i1817NXXOZfyUFgOWsIilXRJmZ0n6h8+fyW3CeICZtdP.BOxju2hdBtG5wT.tJNrnGvl1tpyeDRbixPPGtcvZaI2wqAQq.BZ2uIU9MYaJCrPIkZtHoST5+CJnE0ZvDSiV6XvgXTSWGMyPFUi4HIw3FpTA12B+HUVkkJ9tjEASixvzKotovzq19HwD.MIOOkZs1vlbFmRfC1FsObnjIc8zUly01iB.ly0lEFb0BnoWGCF6m0oLcWoEilaK0JlYWklfyXksZU4Kce3+D5i1gvXmDows+hKiwhvUTRmyUeeW0nTGEsmCr7NRNKBCZdNyIYSlQalouWWDivNn5T9QM4rHWs0zf5MhY8jYZrU3+xKqheSlyylCsKlryn94Z6+vflxkbornXi5YW+B6GdOkgmhPoRmFWMeu90GtJcjzEHMMDEPkNYVHvrt6jhhOHAZ.0yQd+P+ps6MFlKJ09X3Z.BMzf9U20xVFLHaFnxJkNjBH1sFG0xf9zAfJpLlVtQqQVzIOHJxdYu+vACENlAnoFUSc9ThE5EGENWgUqfNcwktX1PlTDEZ1jAeZMPJcIZHtbrzMmuo98EEVfbJa5VcO2.y1xIaK6liq5TQFPRY5AXteqQocB+53mntcGZjLTXyO0acRzwU4bYuWwXJGDLoSlw2PIvNntqxQKS1fqwh5eJB1Tfc7r4AoC170SPMSUAMYgnkYvllLSC9I2aI3f4seRaEi1O35+gb.obHi5aiEOS8TAvkx0irp6JcGnbQqxZwaE3evTfMR0KAcODyj218FAUOzjuXYs0fg3DY3QgZUvTZUouegSFhnOF8vV99xXRVxJ8.J3XotJlA+BxdfLTYzsKVnC.fohyILK688EPgt6JynLNdEfKa2hubvqRB13.H1tusof3BPBddF3AeqktFCiGvEQOMq8AeQ5Dz66DnzVuIuuxgLCFeJPPEAv9RNvAMFJEYkERoBNGMQO.CiHCiQIeFlXMhvaI.BPJ6QdXhoih2yctoGGSwFab56TG3gWTbM4sGsZSum0mxrqWWZmOlMj+dZhbY5nQBc4LWtx8c2fzrDNHVT0roLPOLnaQthitncp.5loSozYTZB.QtRNPQTTVMxkVT1+koCjLlnrH2F5guXVoasRLIYAafXPgNUhaxvO.jRYxNK1o0A3bnWkckmhYdlYxRSLAsin7+FXQLX.WWY4i63v0w4L4gANXxT.EGbAUbCMnoEZ0TpZ3nHhVToyWobDokgba.KlDWGwoQEg2e1Jc.MHP87oFM66daggjrAXH2GlKMSfVMKahc.2xzEwAU1lh8DDSxXt8Qlp82XNOz41Z0P7KYFIbYYhziqVXs.nFoG7GgW.SsjVv7QJrR.J6z31j5BoXuzaQvpWYOR6kQ5JnLiR4q216y8.xjgZEKiFohoEjJ7uXFLZLQ3CSPArIhtllGTuQCcBnjL6JCyocb.qLBu.lV.54bqGyXZFVAv4W4dv2OICFlzFtB9eNJlsmoblJW1BfjxfBa.oBSP.KGoSEKaerkLVX33l586ZlGUVTusiRxbTLr1fBAdvPJKyR4wxAtxFEfPtR3WvDOUh2IDvC8ez.giAtSxELKWMSiEAGQM4WyX90WlksfN+fVJVrE0E.3fSTxfAUnJaxpRgbob.ovaUNor2lObOBTjFCQSYenkGzaDYg6KFtOyjrAa5AzyqwzZrOdfC5vkLLulw7+ru.DSbPoqES3i8e9n4bv0ccY1nQgeMcemFjn.ifV0BdKzMr1JP.Jjp76XbmjWM53MrICC9ichvJrwWmpzuV2r8nvFHxPmdoIanlYWexz0dnbS6ksi0TBCRyUghUL.9GFbFovJUHALXZz6CC8VoXnRLqp.Y95djhAll6c.RXNXqCSb4GmJ1KXlyTVClNUJhbAJxvLYg5O+AdpBPzh698mtoEdfEZEThxk2P1DLuJz5fdLSQK2VTlC7N.OuPTtl4PDlTR14Z.bTlz2gicVht0zHiWEU79XKYbhBlN4X0N5lhZy.mxy7hsnirI545X.+VAVWqtRfqrGAs7cPg4w59J2Qf7qNTQh+YldL2fGQ5tJ5kDYRerbnfNSi8SfoDFpHSsHY5nGsX.C2lQSjOuNLUHePZLP2h4Ix4GXfNCxuX4HssnR+LywU1cah3moTB3DNXnYsT5DU7gptBH4SikCKSJGhUNZoMAPObSmLSt9QCXF.8gXXH0ghCTonrfWF1eu4Ve.Aop+uPnE.lBSCrljmP39xFo4AXHGnv.f1cPaLA0pAIslXbQllxZImVU5uITckqWWAcLNNf9KSmJhtgCGpm.3xRYhLbCyrNI.oHdvfZ1bkuPNwGiSkYS1dxFFBtfExQTLZGfZ6SL0.IEkgDSc8BRFFKzDMLRYLtqfzyT+W4Q.93zLBCGPIP7VuDC.mqaWLxaAyigoACkvA5YzBsrlcX1cHO9ZOwDxAhWglB4zo6l5bRgLec8BphILchpR2JMiTMwcOfEBHqnggIbl0iQ6.eWf8IGrivMaz0YJImClySJhItVjQohoSu4LznJ4LPFWFFaJvgr1fnyg0HaG2fNxPtynmV.3CFKdkfNWOHSmwb43rLlbbsCU1c0AVyr7ePsSzZgBlV+NCCodC7Xw3n9XhCOSkOKAikMho11fDffQWfAeYHFoLdtVwPB3ZKkxbQ1mZN1WUN7kSKlwbPZv9WiC.8FbuRUQ7MLLydp1NHNAfra0DNVhY97.N8dQuYWF3NbnnjILccXeZnTUJzdA+4G7733xBlflF37D5A1MI3LBaUlAJRYsalMG3vhgdajYHPlq8nvEjIoyq3CGNIu3KPeAKHEhGxgIYcBb.2xjoIR08jyKEfRAd.EfWA6oNmKL13v4ovLNNXb1xf5Nl53AXnzToFP2tVRnKKPXqFloJnLVnnHk1pAKv8f0UZMP.UZ4x3BPz0w7O8CzX8.Nm3DBJmTDlsl0UzozJT4RlheX5+8QLvHJUtAb3+d2xoXx0k8fYLjUK6fR2G3VFFmF1tL6RDV96YN.mkijglQhwpMSgfOBkGXeUlY6l7MulC9m408PIwQEt50bMa1abPzO.SD4OuZRaNGP9l4MCPPYF3FfW.6hHPBkUogygn4XvsM5t2gjpMgVoyoZKM8axHHFAW+VpPW3Pr168YoXHRASjyHjA5uu2HXGT8AFrhIHXqaPuILC..YUFTsvJOSt8nJGwrLL2Oa4sns1MDcgRtLc.qMJF.vXBU4vDqzhfGkKVnpdavfcpfMzQR3J2zifns1vE4ClrBSO.mXFRd4YxsX5hLHTMwLi.HoNFlzNgzIA5bkjN15D3BXxfEKFvNENtJi9oCjj0SA4MahaDNZpMQqCTNjcSDXJSc.nJoltboXkSwFiAL4nRgxQWq5SVE3pbP1PtLg.+p.ZyT.Kyoq6hInUAYN5fZ.sG6EvoTP2P5+Kj1TwzmEFeelOU.sUStCSF1pYAwXojQR3t2PfgvlAf4NslCtsbtuSjWeTgbmFdTBVbGdESVnU3ltgGdPJNDmNbthIbWF7MDxfXR2c8aUgvPlVsf890yuYCUARPCEaAuFCybofX5PJskI7QhKnM4IdQtYfai0vAnUHmZxFmAhpXncwbm4yDPERQhalTytqaK85QLXVlAXTuEA0tTogQ2L5MTg0dPjVLY21wmu.5wTNkn+Ti847w1hX8fLRlN1wk93TigCSgU2ptguFsLPohzBUaXY.zcANdUuqyxNh4nXFBPMPUKwIXYS5AM7QFpaQOOLrgCGRVcFsNXWroiCrWSlMF41BZP8nZbHAdW3jH0.BaqaixaAKALXN0HbOmutnp5A25wjPXxaQO1JVVV+PiS1e5RFFKT36AyEhLVt8pgo2BkIPN0gyZLyvBCIFPdYkc78VllJOhtbyrhYjxfYvhVSZQB3OyLtD.C2dPB7yb2Plz.LMbMuVv9tsjY+QNWBhgiQxHsubCmXsL3TLny7AosZr+x.X.MmAe+Xh0qH+bYF7EN8VZNhILiB.UomQsso8Ey3Az0GiSFPFxLEKifG.6HlSTMO2f8.kSvvUfGCljbWPYLtIL1zYp.Sw4gFrqCOcIydEqpioyfL9rLJz52XXvFbmp0jPzi56krmTHlGAW6ehbALmBpALjnfkEhC2X+MgZkzXFAVl1WHeJmpe1hA8qV6N.oivjAbZvWiYJBGETVvH.enfNCcWkhoiDpm.vS3XpwFsjl1nmQ8TbyjJTzBv0F5TrmbZ5z.gaT9kPJGRtAmPlGUbdyfd9cE6BJ2R6S0acHFDkEy8FNWwBCykEpPPos2aDBNSPMmXFyIjdMDPhBy0OvzbYkYN38H.0hRGXkcZTYCYcBZlBSqlPkQDKnnyybBAPp5X3rDLdBmdcBMWgDofvmUh9xb1vMIWLamJABF1alxh8oCiElCbAzspoDMGAw.EJCfIRxodhGSBgiNYbfao8JyHGsAsCLI2Td38nHjDmYCMvRPKNNLixgWD4CFEggijofXKpn9dJDt84KBqyAM+Q0tZoCW2.jwN8Tz6D0Bhmv90ZJJ0Au4g0CbjpHQIvjxC5cZEC9Sfxl5.mxBvxwza+Bi3bJjhMPEgAE40fB7T7oT2lV0QrDCZ.0nFDX7wduhxMDnNedPZiSWUHIZ1XbD.AHFTlBgBsv5Nrc49TzJPc7nFIDKoi3aWAUDGZ2Sd3XMiIjs.gvdRyZ2utEX9P2RTJIL0rOKJrIsBtRep+m8mqTjOX1sAMEYFdODSIHXInEAj4MiLBMAOkPsRvvYtPSAWHfoK8eLLEOJUiBfFDHmdo3RyAhqGw0.BdolmtFzncmAzBn8cllNRdYZurbY.hmLgKgrtQwrgJTIAImcW1d1fq9X1cL7BB5YQv74Jti1dKXP0sTqDtVkkcxzHcftceAhSHGQCs+i7NzCTPX.kJA8.8p1AH1JP1rYbaAGKAQomLbUAibIDdKCIBkSaZIWoNEvcFRMminCoAoDfxL3hOm29BCdYm20c1T6vOWEYnMna1iPALLDACZiUuEONKq9UAbu6f37YHUFtrUyP..vMnGIq3egHLw.2lNA2n8o80YoH5hNM+2DaEPVlgV9qQ+bhDaBcrNpZuYL.BdwMCmjoPNbi8THF5.SdFbf8ZPV5cQitwxDVz2y7C3ChhQo3i4.iB8XO9XgONQitkQuQ0oMPYHEDFiC4jStEsF7Tn+MfHHzmgiW7gwtwZJQtMllBElwqBHohcI48.VfgKEbGRwqzy8dKBvBSqPD4iAKt53DbpeKMh8zrqseqDC9gBPtyt08xf.Bd+DIaZAnVL8EDhPXTgrQnh1IaenH9HPWWfYXW7ZJfwLMfB1nr4TGRzh5vcKhEV1pUACxrlxo.Fzb5f.puph9OXklZ5di0cNhAA.DWWBRDwnQ8qPPCnJg0poPCXRhOgsriGGBtTg.GOIVHtyIAUYP42Y1MKldWGzPfhGFtqrX3PpVP7J7DP5aMC40rXeOLELCIQ03ERmWgfwnaN0pis0ZQ6BlcJb.rwggc8XrvYvCKnrAFvqRFjsJRSMfxvoA4mpSJBLHiU+xPuqLSGPnivcMFVC.M9kQCeDdhLMqRw0AWzRZY5HqSFdh.yancJNFhnGy9AOFS3MCCHIAQ6TGmFZeWwIDIxKUEHskzqbfAjozpnPAny5582b5t2H.HrEMPrVyMJ4LfAvmJztijQpIBoYov3NbXnU9P1smmDdiAbLoYtyIWH4SC3aP4NLHrC9SKJtTqD7.79I1phn3BJpzY2joHrAzbQz1Tj2to1j1ARMenrDjkpq23jrWYFDBkqKof9FHoK4weA52GFjuP4H.LYMhlNa.USsFJ58HTRTCGRQFKfrg.24rSc+5mrGn2hvWoPkOlys.nXTP8JfdxjgyjoQ.rEnbVLa7zSg1ssnQ9PsoUKKwizDA4aUbDNHwowX.HeVZky06oA0xADhkwVpSplXLGfnRQcMalJkhJWyvicRX5bcC4HpiChSZYTbCBID+yJj.jQ0zCGniR3cQ89V46YfFBE2cgPxnfdQ+s2WXjNwzkvv6XczVVH3Py7kOeXJTCTmPyJ.K6PMA08NvkArLHN+HGLrpwyYnPkjiPnM.FgPGRrlJnqn.gGObTxQLS3GHt2L4vNdrENcrPgRUT5zYg8Y2fnfBNVfq8bp4gNfPF3T.pR2vnIgjeQxP7V2VzXY5B8TfAJ+vPUiSTuKL2BFwNpN8CsCL1gj+ykkSDjoXzAuSCMz2cXwlZtvnHhNYiLSXFnbv3ZDK1dlMJJYbTnVFHLXs9ioC2FgpeMgNaMH0rGjzabiaN49hTZ5vCwLnJGlKtG4UEphALPjA.UPB+5Uhdz2OlfgEIHozLcPp.poMI8xgDvTQdzcrcfRdDsAoSvwSpfm64fgcC1+Idku+4nfZthnPxBhwXNjsXNxeDvwuxNSRg9Nm0d4kipOZPmVx1QKgfg6.+.++Pf5AMR5Y59CiqxarhI4ELciiEJo2N0.9w.RFSETlTg4Q.xOvkkYJ9TzIbiAaXzAZmHITPrfB010zlhRjLQ8DWN5zAzSBWCnFG4kn0cU9T26NVQiwJ7vvXQYkDKCV1D4OH6qpZ3HpfV5IaelNpUPBPIRsP4frv0D44So8hSK4.0MNlSzZ2F3Iah2q8mtPqcqH1EGfNECAJOYljOBlOe3hnWlBzdCZEOAnOM0mDNpqybRUgSoc5bDMLIxLrx7.3jVVTIsgdRXDHsLZPv9AT4ZZ7zzznyV4DIdPwQLCPJHPBDLh4lhIKAH0kkLfEzPmY5aavMyUDXYTQzpCpKfxpYve+UCGbw.9K6h.krZfGZya6JUHchS7Q3XzzDIvqGjZBP3d4HxPzmRHvyFM4vTxpNg4x.Zvc1wlGJblLlYNw6nFgEjdT2qnmeqokLvzFznBJP9u1g.NeBOf0.I4EmHmmCosEzy1C4Ry8JOQ005f7RTZQiNc2nonjaHogu2RcB4rBT2fBFUMpa3ASiIEVhp0Zh7ngtWNlQkCbrgL7Rdvi.LNNl4+pfbkTIuWPUee+bnwmeJHRkr6aFicP3FDwQzO249RggVHoSI5cWlbKJlI.FU+lAM5fgD2XhYA7W0qD5Aw9abCd8FxSBBvp5H.Hkk9fAnRKCybyoHXL9YP70GL7saKYVBZl8..1hdaLcrOh1+F5TBEpZeCPNwMtHPALH9xfpgiDOXp9QmBnI+tZj1.eMnuCcHNr1dbKpnzHbd4cSQHOMRm2fvuVmDQ0lo5qL4uCjdNciYXLMxH3hAyhZj1sDY3AgXRv4kkqo8Q+DnY1czggf6JLuTvrUlQlYBgot+fBJKMv84DpDLr3jbTxnk9E5YiI4sAC1o7fCS663KHkdiLGF4J.SKmrDSKb0MrIcCQ3bZ.jdmQmKliDsBtO5DZNF8tm1OyP2sOcuwLnyZTVpiTx0xDvD+pgoQlysrw8M58B4tQBCN4KBpKuFc5WgHObX.jXFolRwbEaPYdMHY4IYblnfUtASp.htCAXt3lyBbHSlMzu2ilC5hXgFPlQydBf2XV9.jACv0Zv29MiXqjg5hCIlCYt8dKYRpSKMZQVq47hAdxLYY813zv2tWQTOAS5fMcgtpsyTHz5FTeKiRRuYBYCdRIzF6AfM2P+g.PevdGMaU6vMMrHlzIlbektUo3T3pNQVUok0Mi1.bZROF.ubHuEyMtBm9N5wyx3qA77YNtOfrFPJq6VgbIlr.XQ.5OpatIGyN7L.PiukcZwCGWaXNiRisbjhAfhmIRCpQ1.0EnFcvfJp9UwUpgLyEBJJPA8N0AoHpQCvtohHblrrbAB3NPtjViZ9.hxofoClDWGPUKYFqLkdZBjTZNHJyy.5M4I.BxqaR6j5vByUrhQLyo3WHNF55JfOYGvvXpxh5RCsI1bzcLQLETwakQC0pABKX6.Neo2JFNepQSHfVVQiJ6F9JjRZBqbUxZmc027W5Xc.IKXsv8gxpLEvT8AYmYfEODDckQHMEpqPwUsCfh3hFOUbpNOvEDJzGEzZTMwLgnlC9zpLUskCGFSRDPOhfvxvqmvXFqVkNXdLYxBLBmB7+4XMF4fQybe.Q9HfWG34wT6ezwCD4AJC1dDJ78xuanA0vy70XZO1ycFT7N.H2QfHd2DySciQzboKsGYm.xufEcvWKx1tozALHszaOPeW2ILp0v.lr0L51tfq0AhKsQlKcSkR6Xs.t8B.XzM0fBpmHC7MWvBn6aDXeFTOHUtHaF7Fj9P3t6.6eYCJsWL5fJJSfpTu3nl7UL+aPuuSbXYPHD06OFyIFMQCcgFSWRvMaLs7FIjT1a0FSF2.F9Qiw49o19B00nsc6KitrrnK+HDM6wV1sSV4x4AxFZ8NzRYdLfcATtjYlNxlSn.CX4zY9pgT5MP.IGLzFcNcQONL8OEx9S16YBpnjel4hMT8CR+svKRi5kpsyjuNy.GvVr6xpf0sxfYDywKGJk1ZH01mPUmKO7YnTB4fp1x6G.BznVrYPShYWpQ23zBbJz6QXPCSgcg4GxPQyHDUYC+0vL2rB3REBn3V5xE79KOxw7rSygbjEcLvYMX7ugi4MIGxHMkixWC9biPs0VCzyrfMobZj7f1tRGg.a4lQbEYJjJufin8QPyv2M01zfqfV6GSAFm3BEFAd+.iG2a.ZE3lBihRGVRtlfSKQAFcnbhJdFS1G5zcGMPrnysfsi8A1QYqgG7PfcZFnHBObDScYi3dVNmazkQlbpf7LFFnnfF7Ps1XFYZNldhQHfPni1a3vshxNXvrlSU+Ln8OyNeXHzJhDdwjVCjpAD8WEV8zkAIgQsfRDfB+RFFMm5CQ89ALXIPpv9n9AfF74Dz8YK3B9dzJQhfSxNJ.f19FSN9jj6SF5rhmTzZHFQLpnoQ+TxP6+Po3b0tAMAkwfsed5cI3IkAD6L8qCI3zwYuLDrCjJCJdfgXc0QqRzqGYkt3HaX8R4T5RvsEJ9NimY4qJivIxPqlFl3kPtWBicLqUcaqEFAeGWOk.tgrDAE358dL7dU3OXGaMuz8GCBAFCMb7KkrkrNY96MmcoBrcDBw0jQ4xTQG3MrFsDIvcYwQkNDeEC+k93QPNlFqQqEv.R35na4AK5SUHuZIC506Hg6T0aPr5x0EZzucvxChipi5pYjekYZpsuh6crepWXFq.SqPaQf838PNHH+mLPnmpqVM5BDyVAN4TdNGaSaIQYokoQDxEZjoCz3KDcrNs.FNow.aPJY1fdNgT9tLUCKR6TajVLncH.E66svgbvP47Y3NSlrTkYIv7bMfvnhsv7RLwJbHI50XLG1WjlHfZnT1CHPImNXfBcyNCpOR1Y+.tBfRlx.WYZFG86eQiHfi0Mpn.8Ul1xr.UVGNwjjZRThB3Av+yUSvaA6qQvGxbvQw7LGdUnGl.iQmPbRMGw8BR43zpHzUFSsECZdjW9vnYSQMDC5BbOW2Q8OKrOMCvoVl2JxdKcU6PQRNYRnMaSglW0ZV8HJkgCnPof0iWA0X6TPmAXCFRAFrRXxcmt.xr1tf6LxkpooVoXxZ.zWGtwKEc2isQEfR+vf6xLL9JJxo7Asp1YjD79FzjUfh9CSetSQyIkSYferBsMYUIHlPlZGDuzbpXM3akFXy1ilQPUY33GYBauMJqtiRfqXqAhBTwbl2GPVjGhx3BRPeZxOCFGAyXAio2coFEsLtbhdz3bqovzJ4SfdyLXqsCyruW4sNrncFFV2H3gnulXQsTMCd0IgqkvpyHTOzcs6urJQ3ggFthQz0XDSuji3umHLZ8tKdof5RgiQg6qLAtUBxRjHTgfFLXjg51lH1mUn7a6yCXNH0cRGVI5jb8gSNgHVI8xFD6zrqG7+KXo0w9BNbTBEQPIBvr3H6MlkiBg9PkooMQFpXmn0ZyPauTh7lgWBtCgoNLTfamrc.c7jwpAYY2byuALKVPDR.8LyJGJ3vhI9.LEWcRULfiufZzFL6rgs+fxMgBF6.gcWt9MPJwQLr7Jph1zIn8ZuWFIYWuGMd.NxQVYArdXZPccOm.kV5kXO3x97drKE.C.NgrcTc9kOhlRBUttNZFRQXw4ouVJ+K0YnfFenUOsqauaV4QApPU2SGkudZN1ksQX5dnE08NfFTspB.t5vB1QF.Zc65z0hZ0.HJP9VDYBr5oUrhZAgpqTZmvVXFuDGHcsfEDp2wgY9ajEQZEubroGjoatu.aXvnWHZx6WLlAoeBf8PjTJVdGZgKdFS+kA45L6V5UBpJdlrKbCAmdNICqf5TyMig.HNgNC6pd8kWl9OSX4f0QHlJWmsIGYlEJzrbXmGCn8ffI6ckn.5Db01GBZ..C9KcKyQJlo.5+jdOCt5xM8YfyvBvtYTlFYngICV9cHwhx5vhKQZuG5iHnzwQHHUNtB8eQ+6Kld.P4jHvXFYFj0z8O1PGqJH2Rv9DUmSVvfG7Y6Dofce0DQFqWjujxTtc3HARFD0JJAFn01X6.RoWm+TT2TUroQNKj2JrFTONBkkyPRc.M.BOutbzkd3HjmAze9tYzFB09oP5rGwnU2brnbL78ZaJndzs6.oVqdD3FYJu.FLlTHJd8pQqFGGolknRqAuqPiIWVsgHiZvRAj0lI2TRRJm.upYjxrY4SVkV46FUee8iosBLpBTZPsCzQ8CA6.gDfwXOser2QKnVLKR.BupgVuP5dBIWGtlesmvQXLTaIPeWMTYu8lZXbTgY56ouFfLL52O5C+XYlmwP+DX5DQ3TA0pFpAOHi64H31qkcXtzVelicxBA4fz0UWhpih1B8KZl+9f0gPIvCVkX+5rdqg7XIa6zKLyTBGYRWo7c0ho8ngR0S2glL2n2aL1Jz59PInDLqwxhzWY3pSbUjEzvoLViX36kKH5l6V5P96cBA6v2x4X7nZlJFbPgHXPRzhWYMr.pKXjGsXCRhaVv6RtwM.SLcq0jAoRLrCy6xic2vz8LlXZwf2jEGBJkeM.UTFu9c27MPqUfmJNJg5EOM34eBQGBsVTLjkD0MgVxf56Ry72GNCiVTCVDZEx7poQOxgEEp5TOmLXRochzs5nMWPlaFjpRFMqPnjFkpqfAJHS3BMXbGLc3X2LHkj.R56EY7SjsihaT2cEnoRFxARTlEJkkNz.OsneueB43b1HBI5OpahqPdM4PKQJE30aukwE8ujonJl.TS+GFfsHFCAvQy9vplLaET3I3wvxvnSRzY.xSWuyg4+MM+k8aknWctNUzwCeBAbiQraeDGGg5tQAiw9uQxEUbLZqIHWoAcVYXXVDmHEaGFORltl2BQlSm.lfp0gorqAAKCkP64Pw9INT+.McmdgXjNBj7hIcSNse5mOITYyS18Yxg.ugF.TpjDP+35AaR6DLvv28.hXhXG2uYldMAecCAR6BQBxzFdQoFfBvji.mRYjCTzknd4lx1Qix6YFDnNfqyvIOGLL8uPSkLFcAW9TNBvQLwP6B3Po6B2xTf6gbtMWAy8nksXTr22imDR02AJzEzYjQp9fSTfX6olDfdcWKQKmjkNBlOcXLQqf5nZ6A0T0MTzUEZtB3PIadNa+502.g+Mnv1rYVBhwzQl4xsVrydeLw.vwVfhX.htSU.Jz8kJHCnZ55PBxum9KArkL3rGVWIDV46XA+pi7WRzaSxvJcXTQ8DECePLzHfJYmNVWH8eZ4KLgA7tkC35893jlQvvNY7TrB9BWIfS8ZKlJ9S0sUbDS5VQwX7Pg+Aor24z8xTAEbwBVbQJYT3GlZ5NgKg34Fz9t0HstonP2TlEFBIWGNQ2Olc8ZAP2avdDb2VLfIo.flltcc27hR.Dsdyk68A1PYJqBxHyPalTTjCxMENcwrxgx6DkErQ5o6SONgLGUCDfLKFF1rBe5CcUBaRTM.LDBZggCKTFwrASBHJXgFho..2GwQTRqCxRAkQTFy2u+DVoHdcnc+Lpv2aSF4AkXAHMA6VdjlV.TxXXSelPJOLSZauQtzJJIF4ktSsYBUK7.gJClG1xItn9TEXp90gi6bPvb04T4Oo.m33zGa5ZTvhDLBIUKe0bDvdNEr8ooyCc1tI2gxeXae0kOUCXlVATzOpjhSCEkMFD4SNIheHSrAsDz0WB090z24ShURCcYW9gHiRGzmaPA3QswoHQcSiHKvdOGrMYkbPG.kvhlJBkHC81sOxJ4kqtBEBtasOlyAgHjfxj0Boo.hJCxB1lVgybGGlvHrLYryF9AWRlj53Em3zCkIxD4ARB.SI4hW4FzV1fHsxUXmVzUUGs0njj60XxSV6Ilv6JdWdDiBjVH0yiChgMJnICCDsLyAelZzQ1.K3NiHmDaI.vKCH09JoT.Mec5FCBIWywX2vRPnyswrjXfbrhuLBjNDAMSigRA64bPtB5Ptczi6HDKH7FEnyDCfKQiJgHgdgAaiMUEY0jOekV10PFXMifpCBBdwnKnoTn2LfFW8JLuOd5D.+XVhYCYrryNQnDWj2IL7heNuqzA7NvQoLLHLrhhPOARvwD93lUepjYNpfGXTtapePvz94CuXVGRmBsnBUbdYfhBlMlHbh3WZKXsSAyZGkph.BMb1JvmD+DGnqf4halLZn71SFS.Rzww65Lo9HvlCf8oiM4fDCUTabd0OCZjI6LjdxSRvS01o3L.CdxzUa5SFR+Tuy3hw3Olb9xAe4CFPqrVYRlbnxAszxrJnfbVtAOTGUI72Uvv7cWQAH.DDV9I0eznOzYN.v7n1o3bt.kwYeYgsFGuldRAuf3honlkXrMcoxgZqimYJnc0pH3CjgAJimrpZJDD875fXxnzsSCHqBDG2GgzrPwRLleCwBlReSklpoCmxwRybRnYIKzVuriNLB++DYc0n6EGTbNH8MnCltgRO4rNZ7cMTJu8CPDjhVcw5L3fJYUxbNEnyVfQktiA+.hiQGqkgJGIGkkMZ5nDE+KiWcqnVqqEV6hdyXp0kRFtDo4y4QWbjIH6aksOpUYrMwQQyTYGZOJ4i5l7D37oTKbFrrMPuGMepEU4YOw6DXBYFEyXh8IBQ7dSQIGLcMy.xDy4zEiEzNEGYqLN0NZ1FknErIR2hbI0w7vQph.UgpUJDZvlZKRVrZXHpPvslQgdUH3oQ0pufDcpLqWkgxILWgIpBDVXc2Kv6lykqPqvM3c8+OA+RXXLBHC6CpEitsMSG7Pv.QndgRQ5MS8PoVFn6KYnj2toCkn1hA43DjZtyj.K1gzq.9TFla8AkalQeAwVqrLEpCsbGGtAWrm6l1ovAFn2cP1+gsuiJtZLTNNNw0bl7A.tNUHB2IvI1.2VEHDhvTvoYZyc1T9zAcoOQ8PlVq0LnrGLJt.RPCI.EwIyDlkPqj5l.qGLvc.mrScgYeWcZLhpY.0ucRwQ3NQYRYZbY4aXH48VDGIiwgrvu1qFHs.+AKXQ3tiXmQK5AoSCxAc+0J+DHFfv+IoU2IMPQW7KjsXFsHy33Rt7qD5ag2fI2xLPBjRe0fIapNPxPbaJrCk879XYYf8o8qZc.fLlMu+nV1KjUFlinkSYTzGwFMuNPSukP3CE2sCusLMgKAe9f3OBwcMxF89AZMjn0GJsR4HvA9LZyPv4Z8PuVqNkQg9rES03xkkM08qVXNvxfREKfqfksg0dowXohCvNqBvHoFLj+p3nhNHoPkqnR.b+vveBxsmFALPwZYO8xoOhnVlkYTUHCVtRITjbftsd1KtfOfA6U7+A.0WTIDCO.gVOPDHgXBk2knMyGKv7f8F4h6sRtCt2YV2PjMLsE.AmCYXVoxofDllQ4lj9PMUz9ZsX6J0ek5pyjKyHL6RuEbqBAqvvZsLM1gyfz2wIVTatQBBR0L5F6fnjaNkgFgLBU.fpJWbZsSJ3pbfTbPUSNfSSiawdmbrPkkMs5ZFgbTyySPzvz2nvyBMIzHtpQESv9zB15uB2FXT.o95HXSChnsYlo7B8bfQySK4FswUtsjII.2L6VsCX4.EnYDXgArt4nQLriQAd.e5FuhLxqCjgrAQ7suAjTHYnstlbd0W1abJmhzxXv+FNIRAMhDB4JEvzxzPkAt3VgxMoXO1ZySwPLw4LPCDz7s2yEYwAj3nZ0CCyTJGsIlVXFC8zdOygnmBN4oL7Fw+MloEJpMTnQ69iBdNNMamiDjelgiBY9NYX44fJjPU2rrAOuvb6CZmpUqp0fIN4IRuNlCCCaEvHtE67Uf8caANwADDdvcTxksRFK7zBg7hPV4TW.nscphAbdmShRymFS3X7Olly2MLiCkio8+8dwTwsDrLMnrfirVNEGAOr.Uni7IXZ7RvrCUj+zwI0p17QrS4kF.AKcN20+LZRzHnuTF8aSjrMHJjiXV..dbl1zrHA.k5IEjeXF5hFrNKZDWnkgFwH.zdj.uQz2aW+lKn05znnET4kQOqOIrpAidqsraeIB38nOuZQI21mZXCY5CVzlV0OVNt9JnFGXhzDs9duwNPPnNxlfU5L7dOj1tRJaEZhqb0ZFjIDmKFInPZk1emgvuGzz.YeTlmxlBovTcASZp68b+AknmKji.T71vUo4AEfsA4sx1YydHFNkVH2tTtHGBqoT8npqDm9dmULB4bttx+iq8BCZqLDh.D4TaOHBykP9MPmHYGhAvZPgS.yhSjJ8zndBGon1wsthH.BBaOMJb.ZCYQtPjUlBuSCZwNdFhxsazrl5oVPjZHPVkpSS8voBV4XjBMCY8BDAchMaASP6qZPLX3qCXeJjMCSwLo7ELv.inON6esP+GnJengIyrIsvN0OOsHANqVqSOb3D3DngObrn.5EkrFv4Pro6nM6AC00KEUdm0YFW+EZo3n3XYdLKWh5Rz5GNZFHvfwjRWPkDMAQv3VvQf4jpJ0LhYM0PTuIgQYqi99PWozHGoEB7g1iZnbD3jUsgiY3qlMz4LCwA0QQGzQQNrTNxXdZP.RJRoihi35HhG34CT5C24PnN3JIAoLgJgHluu9EmXRgIgaHu2qsz.ZGlirEgcWcvmivdPSAlfyslUojz6iCnoJDxAyD.CJwPXyP9UJFmrxjQCZqg4M0fByLxsdIHiWJLmoTsTswRvtRXq1D4JBFhdOCjPIdaCveI7AZy8ji4NVze.NwNn+MHdTGFOKkXnAfEVTTz5biICRszU6LnyPz7cmSKnw7HD5AEBcOkgNGnulTxrB3tcOpWPjryA7MlJvFSeWW0PjhGPccN.VDjNNR6cVg9rxGlLNkIWpaGSxsdpu25HIopbppOvvcF0egIZAMEqBOOs1mVOvdf9stTvqorozSUT1OlDydOFlOiQWTZWn4O.i2gov+AgpqadGIFzcXg15AKQmB3HmcZPF35L3TKZTvvgyZEGJElAzxOcRPYnMjElcmSLr698nT3DnxsD3Qx.1azfIPJLLahoN.T0DDh4Jpna0wekTqc.JGS0X1AQRXNMjrIsFuP7zLLtFCVlhPIwxxzPtiY5vtV0Bx+eezcrimn96.3k8TTBJXZGN3kqNahSJA3b..iInenxzUSDZQvjQTLynwYJpKSfYhA1GH.Uy1nY.fII5+WSuV12+sJ5EK57F5W9QZ5fsGzjRBQ8kVKaZEoxSYhVNFJW1dWrzzW3GAHuf79f4CAbIQ+ll.VXC+5cRtUjmP1MumQZjgwEcKryC89JRByQokKp5DL5uaLZmnQk5sRj3axv0fCxqAhCtB7YctiYuCU8sPK6KlNQBEoW95ftjSTJArW0ZAzDxlJolngrE3ksE7.libWlmTDW5X9.xi7cLLDWfpIjVfQduNOm.eAL4IDGZYO5fSPHfTMP.SIBx496L91.CC8RLUUFISF16HF1NH6CCOuxfL1Y1syfxDyLyD3bf2JHfgYmayhxCCIatJCXZSkCZ0DqAUslYynjcceVlixTbuCJrz9B4bDylJJrLjXukaNgJXoqam3icC850Km3MInwaWsnw8st3B8MGS0l4mf9TfvBfDpXl26LRtHhmaCVVxPpPMvMSLJ6XPvjXChrNSVbf1KGADgxpgGqBT82dUD86EJfb.tO8Nj4Ss5.eArVrxvoCI3YRXAQP.7+y+jkLyrVHyFcT5pIvN6vb0Ltxglj.oYe33FJziMRFBdcH7yYZwY7ZGbSKeRl9PF.TFqXjXQ1b5ZDuEgiYfedNL3CB7F2QAtAZ+6qGNx5mrHAWXvr.aVo6kXzgzoKxrvAPH1DACvw.jZFb4L3ASAORfDi5JatyrSslCTjYlT8BLti7dmCcXM4GCAnBuiPnLlkxxIjcoP4qUTr75wQ++xyUGjRAxbmlrHWGA+6JaXECEySV2nsS5bXKzH28CBI.j.p2cPgOMhNDL0xAzOZfJg6OPsxfBK2EwPebXxrAP6VYj5SYPfQ2z1HkVSJZ4qWO3P83pfxrxcI2ajVvjL5qMbPDL8gSfH6g7rbnnqVyokDVfyVUzXLn.IyfKWXljThEJ7CkcQ0b5dfFSAcKu.7JlhjNgKegoyX.eMrNRAdigCUPls5ffgaIzUefL1MQDjLppwogTQ4OsN.AMtravXGi5uNa2qty2nU3wvhUfalMdgNo1PHP6cXOOShx5uNCPBJoap6lbtRO536frk2+FjJrQIk5zLFmdLSPcPs1Pqo5U9gy4lrNB.k.Zlk8412vgbRaOKdVXYAYNPM9X5dSNgMirwNnZHGMCE92GknYofpvpcZWyn1EncCHE308c.gItoDZ0TTR7zdayXOT6LOPX.Nbj+.86d.ZU3Ovd30.m3h6AniL7JuuZY0.xxLar5yoY79IHdE0EipY1Pzfk9AwjS8hOb0NIfr.yD.3+BN.yIs3JZtEeJQ.qL5P9oAHP15j0fUxPOCzJzJzBMX6Z4nSqXvvSsvLdd+RGSMHHrjgTaXPaJTxI4nDEkYb3pa9.Fdd.4uerLjLHQdtZz4MXpaOCktBJVCwPu.UAYo.LDdOfn8fAZ2oWmDKvLHet1zgxgEX1Gdvi3bylJ9zYPugQbJzkXiWPDyIsapwDvuLUW63HjDaH9JEQU5vNlDAukWhCWIijCiadFt4.DyCGoin8oUpdwHT7JyPR.7u3rcHFtFDFSxqHQ8HtlbrwMXyo.pjKHjx19TlhonQuRTjqn+S58ui22XBWNNwUD5sigtr4vchYvGxY1HAC3FrDfhSl1qKWv4sI0xbR.PKmN0CuuAP3gQqgOmc7+.0wO5rM4.XJeALlmLmxfRffqXHeWXXbDS6nzAltmRg3.FSz8xikaJxm.qKn6iTALXs8pqfXkIBMMO9FNyag9sOn97KO2UBT7I9bEKsR8ranHzIiqGjURF0dy33pOQrXGAJZZNgFJzlTF1vE8YzonMfG.fjL.XASI64csLYtgTJ1vefQRCZM.qN.PBxA2TMyPLGOPKzgT0MFTUL+JSY7hqP21u1ovLkYrjL+NPn7btLhYBGqAAhV26TrDB9Kh3aGL6d+Q8NKFLGfhUHpMlDPH1iLnboS3al5qkinQA6e60OWpAVI3JxTBntb3BSQGPfJDRgnikrchIXSZXXF3Qp887pDDn4LXTWjyt8GXGxAqdCFVdMrnFU9ZBR5BtiwTRvCHUaf7WBtpxDKA0tDXjyhsREyN9.vocUh+f1q6ZaR4NRlLpmZcOzYZARUjAWHb48OzDIHnyfxPSJCNd9iw+Ke.lLqF91AAHDAFJit3ZRJDc7.9rV9AYWm63JbmlBPIAM8.D92mv4A5g6LqTafkUchqL0QZwneBleFlXMq.wLYDf9WVn7R62kp0iFxSOxnwxpDJEhhczBJKXr+VSJrxkUfob3A.yPOnL8HlzfKZNbwgEv2jJXzidfaTlBHcM3dQhFqYDvNV6H1jIDLSypL0vo7sPwp1C6zHvJPrKCCXGNowjR6JHh0FSuxQtsbBoGH4C.rALNmtDJkw4.Uzw06xJZBXNB97rNcJ2LSRDTWIcGczMOEZGGeznijGtRagVyLgMvALVtJtjfxS3..oJrbQRipFCYpLltfv3EdPrQZ4XwDPubhCoBwEFdri7Ys5tHGWHYn.qii.Zeto+jjrRHC8xSmiiO3YEl3kVQGtRMbyObSx7twOxTMEh73DymvXPa1TC8xPMiA9oECHNY.vgGAg7M0tEST5k.XB5PnLA2RslSg.PyDYL4FlY6NEiTp1fPsAJYGst.e1xfi.98aK2n8Ekabg.UzAqPFOLfGYJd1DtSn3v7I8heh5RovAU.9SGp2Rftcs+lLybXJBZ6ErBxHSWcCzCgwhPOqOscSSnKfPOPECDlkw.4ALWC1YfOeN12y0LhVd.WpQxM0rPkVU5zeGo+a3nGSF.azvNNFVbQzGTYnBdrMcDGBCaYEHrP3a6MOdJOKvvOhmhg07NgqIEyQHJzDc+9Pw.d6y.CFxrmolsJP2A5rEhpTfZbyXg0BWrv0HolQsSyf2.zQLDI9dwMIAMnxh9f4edsbytEQRirh.dFN5F34PSSFjJ9Wigwh7gFgHWo21YSLdj045fzYQEUaNKoYpLGGqA+7FjtP68oiuPy1vjDF5MfIOkTTCQT43LoR9leMRt7qNwR4ynB7sP66jWoyxEAeuz6RebAiggrSb15BiBuEi3HRW9LeVdSHB+mZ9f2Gpn94rNGaNCxKT13Hm814.7idFYh.RKFvczrs0YuiM3LqR+D19OqjG.hmTbsjQihpjzpN6MDDOpM3LlVHYEm+IbfZwhNDzCF4ndtUmBcopUhoIABQ5rqhkVzqmwKXOmyegIp6XiPUFsypEa2c7FHOzfEIFmsvfeuLbbRPRSC5K5YgMOsfeET93hIc9rVDCYqqRfC.YYF7myccTeyDj3HVXOKMMvryEzPzodIrNWaOhYkIPgZE9FqbV.TgqqPeaynseLocm40W9cYbIf41ox6mkaSSXjVICUOQpA0yc3K8tvFsPT0HyCswY+7Nwq.0rFPne1XRRuKUIlTzo0Cy95rWGRGhdkUN8mue1GO.QLdQoEums3J51AXlohJv1Gmkx0RHhCLXQbpaVJaLKzSznEbOOlmCh6gke3kPXztFExXd9kuI43gJfdzVm+sAjOLge1C0e9bmjzwiBzfDR0S5rU9JXi.DvvCc9HDCoyuom7IQhFAfa41F6kLziUvOEShync1yQPfP3AGDJP0UN61TbCgklZBilm89wHAD+KC8kbVr1DSiB58WiwoKyrqe1Ozxlu9yhTKAUpe1EG.qObSsBYHSxim2RchJTEg8k1QycALpfP4gYl1fxzu2oRSEFpavlZmK1onmlfm.XtZ33ty16XhCBnnyP8qC8Dhy4MXxbyJapob.Xzy5SlgqZA0XvnJrN+iHMWDbjlkG77liJIBEEVuAuimcdYi44aEXAkGyy2NineuPQI4f3qym8rLX5oDLJeP.E4ytuQgzLh.xJq5Y6DVTCgDn5g5khZSc16GLuKtsoK2iy4A6NdRGzSB6CTYRyO6J3DP1qrMKniRm89AmZhZlAcY1Wm6Cr7PzCAFF4SEJW+7VafrUA7prvbVRXIZILyykxGPwntFmUdnAsZ.wnZnlIkyJK555zlZfwBBOz3r34j8pDoPFNP.s.47u5BLjxjFBk7b1I++DySC7NxbYkylIjVq0YSvVEgdTNqrRECnPHgwToaHC4448Qw.p1NI0DnjFme+eElaRAfCPS6k5Fudv47X7nbZxIO6FLjzTH1wfYhOR4y+9KjZGc.f7Rxm+8B0yIPBQGiMm8HZgkvP383s2YykLBwsBKvC00hPH+l6yq4ke0+4WdG+GdsK4su8y+zqd6+Mu0a+3qd5yu5se8+vu8kO51q+cWd6027Ttj+ve5y+3Kie2ubdRO8ydxSdmule2zatIMr292e00+lO91m+U9W4+3eLJwAEMSYaTQxeXrhum5zXG+tibjpJyhZ6pu2Q6diTdzSsNNfUJpR+w8nxVBqPPdx5nNhvx8WeWyHpMCkeECPBCG68ysNgj0.xQjuLlWmw79i4ilAN9OP2.WxJ981hLIiCD6SLb0G2aHjN5dYTzclYtYZcuciY7cYpfy.9TBv3d6NOwTGqwAVdl2eRrSOKmtSEXRnUSiw8H.BXBqPLHzBACHy81ctx7jJG1cFrUE9+80hLzvaAcUKzgs6sC0Aj2PgCmvAlLHi2aqD.BkL8zSgHCXhx2a2YXqWEI3Dny2XKx82YDFv8fp5GK8ne+cDYLfMalHSSAt.tuqeYT8UXWGpY.AHqPm95GGwad5q+O+W9lu4+5+0+u7Ve3O9m+A+he4O4m8K9e+sduewO5G+ydq+p6q+8lu4it4oO+1252c4ydqa+n25u5s9wO82b8Su5cezyt5xau5me0m8rKexO+pa+827re628s+PE7xMO6m7ja9828sd6+h+R8Dd6G8tO4lKe7K+ou2MO9pm7ceue1mv+6egthO5yd5iH7l25lm9yu41q9EO869W7l+Cu424M0my+vezG8Qek+re3MO81mcySdxUO6q7G+gW+Im4mb2u328oe1m7qu5Yui9f9jO6pu3Bu3Aeye7iu91ad1Gbq9397KdvC+A273O+C93a98O8hG7FOLcwu55me8u9IWc5K9fadxM7ecbgVzt8pmd6qbg27ze5Su91ewmd0ce8E+vO95m732+Y27nqdtVVd9E56b5W5BcA28To+KBL7hG7+zC+fG8rq+za+fmb8iu5YWb8iu3AeqG9Se5m9Y2dQ7.ewC9NeyKdw+9Z7K+se3u3yt8+W7a+ie5k7o9O329+5e8E+69o+nKu8R8Q3A28oQeB+zqd1sWyh2C9QW86t9QW8gw8867vezUO+2d6MeZ7w8S9zadJe1evel8C7e+K+C9e36+4u7Kt96+IW+3G+jqd+ad907x8k+j7+3yu8pO8Ct9+zKdV++7+x+k+u9q+jqekK4+v+3mb4e+qtN77O6i9nq024gO7sd7O3B1od5Q9QW+qu5IW7ou381OUOX+Y28r9V+j+8oK9zKe1kexU2d0c+j3Q9mc0uS+NW705S4W7l4kOMe+O6+A+i4e9cOye4OmeK+dnW4w4ouxmy+wm88+C9zDav9Z9D8l2c2+ke3EW7Emwzg4Sa89m8PYA5ydxk5b8O7iuTqO+zeDey+s5+7te.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.7ZOe+o546YW8twO3q5A4teGyetuwq73oe6u3qzu+6c8S+UmbQ+se32Kcv6h26x+969VOj2NW7AegQ1+kO7DbX3egRGk5Z22u8pe+om4Kdv+hG1d2ZP2xn8yUPk+Em9ngkyK9a9rau4SzF5GeW.Ne0OHm9q9xmhu8C4u4+zdP3Bn6xEcAvVnqwQJdR9Se3G7I2byserNRbwc2++jGl4tew+8eY4O6g+xqd9U2d519Z27Kdkfht3hWYSxe9Ce9Mezs+c+5XuvquW4e0qrW9Uunup8Mu9swsa8UeXzloSekbh7M3I5+4WthRLzu3yw2TqpewGiWbsJZmm+q3N8nKexKtPc38EmFdvq7A8a+vmFoN75eF+yen1+7wu6c+nupOYewum8Lwq9g5A+AOneqGFYf7hmw+EO7Kk3xqreI788pewq7w3aEGPS+S6T8K9k9++X8+e5i0m+02cmUdYlA+29G7W6dE4l8zqhfUd9Eu1WpscrsjPnuy4y6+pgUe2VhK9C+z75I.7+P9w4Em5bed9l744URe37awe3CS5qu6KHTmUe907g40MP+9udlKegMiK1ZD6LVa+iIA7+6RXjexkO5Y2728nSQFyGnuc7czYimFlE+NO783qeqzWtlDJg2q+6dzid8a0W5WL+G6uX4O1ew5er+hs+X+E6+w9KN9i8Wb5+EeO8024kfs4Wbw689+3XS3CdvoiQQVXW7+CvggePC
                            
                            

                            If you will enable Suspend On Silence and high-pass to get rid of the noise floor like this:

                            HiseSnippet 21438.3oc68trimkkdceQ1cm8khjVTfBvSKWZRSipKc122aQPzE6aTMbeoLqRskf.AczYFUWA5LynTlQ1cWhfirGnYdrl4I9AvCM7D9.HCX.9D32.5W.au988OxJyrpL1qhsSRXCnTBrqHh+wINm8Yu+tt9Vq26wWcuKdxSt5wmcm23C9jO9hytyu6ce+O4QW+Qe2O57KezY+vum9928O6C9IW7zGe9CN667Ie74O4IWb+ytyc9x+o7yuy23qbV7u+1u8247Gb9it2EO+ac1Y+rqt7dW7it7gWd8y+tu269e0kO3A+fyu+EevkO7E9z028Gduqdz28pGb0S08xW9tGm8wmeue44+hK9ImyG6Kc2y9Wb9S9nyty+k2MmJG49G1xe3LWJs1Qs+y+vb53XzueYU942+hz8tW+33r67U+92+xqu5wu+0me8EO4r67U9NWc+O48+nq90O5zefe1kO4xe9CtfuHc16q+xm91+fqdv84Qju6Ye2O5xGb+26YKRO4LcUdumuj8kOsj8O4t+3Ku+ke52+4Kc+9wO3Me9uwKt.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.WlxBoBhPQTr+PXQVZjke4Ibsxa8vo64VtkOFU9n51duELsmOMS5FNoM+xy+9KrNNI64ZiZZoMzMiEoRdM0wEY8cVNFy8a5TfDGxDlLlNVZW89KMVxSXeQusqk4VWV8wT2uYYVevQf8dUJxycdISdKcaabbNmEcVprjk74gawPu9zl4wPF6zGOuemgtZ5yoHMW0N2Q62PqCpx6calRJ9wiUd+cBVckc+jdqjjcu8QjpnNJDTiB+4XLJq8ANpXYZDfxQSNLZEyJhraHaAxXZqjU5i6i1c16UYrUaMjco49qrhIPQBJ+EJvXc1xD.aWW4VuV0AE4Hbr2PphsSmrHXZEhdtjMG.zlec4yJIA49NULgZVzZA16TraxD8dOKZWzbtZiEt5HH786PxZmm7cqabc1pt+FIwQQEdhrIHi+o8N35xnzwgRBYn6bSPXEYJPGY0mT1Sk0Tii1N0TPAsURDL6dG.3ATGw5g6v19niUrnJNrjrJn25ikIRIE0ibVn7OZjbiNW9J+v+4etu6e9a+ZIYSYqP4ho+rk9QZ4BQpnfKUbwcEBwXqwqvFZqnbG4gSdNG0t68rRoIxoPw9Xh1PGUkYYEqVSgxWO1d9SmQGD+L4Tqfyc4iUz9MkXXB+UJ1jhIFozQEih5exyx1aCNHI2DJm9xww9vKUF8JPJ41IqaGckalro0cqhfQ9jUzI0l64SobSxXx3u11uOLW82Wo9zvnnLl2ma+z57uRlU1mI6dEt19sRJ5glbdqPCTvqGNCFJ.lTSuE0ps1CZ1bnTHzYZkiUdkRlhbT4QSu.UBS87Qcu81jR9nfIfg1qp762GvQhnPUfDGCdDKi8gTor+6gsSYVpISi6OrjUzI5ZqWl4CSHw5TxQVI5IicoxZ+8blzZ5IEEn100WtXjjaD4+VwyL6TAJi414XzKJ1jFgw2be7hRlVIHWHXhg1frOJhJQknrkztpg0JlNFdrzoVsZTWlW4bgqcY3XIumUyUVFFm4AainLXly3xA+AlkjmBkLTZ57cuRUcvUVRSXDdeVPypNApOuhHUK36KvfVa0cqRqW4usz6x8w1cPBPxF8nqkDi0CpvQJiOMYT0DswhLqzqbYEkLCM1CjkCbwWh5PrewPVcUr.J3DsFiYocElQ4EqrOTXnJH2pwLiLHIyFrVn6g7vsctIqEJSrgRToo8zy8FkTfZx.SmygDoqIkWEZjB4fTX0881q7nKCAJ5DESBkBauIZc3nqzOVDPEkxY+1H8WVdrTluQXqIS9G5vp7.TWQ4gz5sIRBkPuRRlhGt5xX19UOcMSJrXE+prMtNLYxpqIk3VK1cLfr+ttncFx4rRZ5.GGlZSlk84trHTkAcp339igxrXVdVvLsh30Ty.pDmhPW69SZuxzESitUNjQFkLDuY1u7MU1+ZeRoIGAq8AEWTlRGStwaZKsqzjSdmGut0RXc6g1ptp5tMyh2RoHXpBrbSnMHJRhoV+V6szHK+cJGcqROBTHVlkNkgrVgU.VoSu72tdn8zxLp1FQt8YyMhrOSkKXGxwDSY62UuXUifdS53Uxb5hi3xCpLm2lJ0hsW4FuF0mrRkGytPwzYQkWXR17l3A0bfIJEf9bsJ2GUiSNkw.4guVJpP8NJYbMqW0xFlBVuUOV6sRpT.p7PhwAR1auoroN+knLlZslse6uMz6wEGxk4WpXjyqAkDrqiX5ddsuOYGJbBktfNJRJ9cyalbDNgRlS9y6tpPkhLKlT+5JEIo7pS57s+6dBkZSzRo1qLbxM4oaucrL2DJLcYFQuIMUgRGnjcFpgtdRURIaqblBUenC.qEUMn6phBUA6fpbcz5s8gdSfzJEiCJIRIa7M2HPZs2+nQFFISovjqnDAGn+D8ZYecf0VHbfSGZwe2dioJ1Q7unOuR0OYxC4Pmv6UEuIYbYpMu9TZASqF0EkRw3PjZrz0JQjukVFG6qGsRIawwPpw6gKaANBJ6cTdFkCiIMtpBxSFYXyecNbkIRmO.nIqHETkglInoYWuvIy5lslsI4MjprM5Gzx5w9z7oPlJAJk4d2krUhTU5zJbBYYL1WtJ49NZDtdUVj4FWclWJ+PdcO3ffouPIp.zh1npvD11ainvww8btl4H9gob9JMnkNdMKUkbgoVexOQWN4pQeKTD6lBXOn2dqIs5Yr8RGwVMomWZS8MVR2boSrQMi0l5gB5cZbvQnXTKQcOmFxnfooZsTSKJKBBe5L7xdYkdgrlpkQ4vHs2lWllr2yJgqnObl9rnX2TLBUZVVdeja5jEPRowpnNCXN0BBFjEGZlkRnyXFS9L0aOE9lhxKYZmEUCWlFU.jc4yn1c8UfryzKxgr7ojfy6spOVzDmEN3R48sJPI1m5ZODATz5lq6AUQbnyTZkqaJjWlRdDsXWAP55.capL14f0wnZCBSQ6N6ThIkAkRDnX6eotUT5HxuO+h88akFSYrQgGnPDFjPfobTcZAltgjslrqPFIEPM09uStp11A1k4Cc1ZPaET.HCSa1qT3uB8ri6j86lTXiqAclrNhjE2+LR2JjMxbB3lz5KSW9pf+B5W85XkMHbBTojnmHJM3TtYbKlHFObbLYoYreGk9HJAmjdCo7sR0jo3NypNJB.wzFwjqW6JUwgrnG0sO2LMLKSE6IGJN5Bnx1C.HsgVFpkoWZgmIx9Ck.prcbpFZKJe+1XxHxFcHnHyj5PlILAkPWOJo2pTTlLMWCloK2xigdYlMaryJmY4unonsTZI482zZmsN5N5QoAFJfksdMjsFEkZVVgUVLlNlAhdjERs7Mog6lfJnRrxcH3BbIawGFeLXIkl1QXBISYHipooUNE+lh9begEk2BZJIYCPyZatsGQ5YQzoJc.iuNVjq5nRSAV2qcaVTchqgDGjsRWuqwB7jx9Rx1l95RkzzinNHbz+BzmFJcTIA9ynMWsWOIUR2kiJWQLgM2qakCdgnZHl8skuJw4pCx3ZPE9cUbi.HqXMugQUSjrJ+FEx1BCvD61vF+wf5CR6O0Y1oIOp39.nuvMtK9aEfxA4woHJH5CydiNsAFbmofMyNyLqRNWj+VxdXqGQcoTLSS5vkbCk2WCMkfMnVU1d052puud1ZCgBXRwHjlCEp7X0M41lvCNfXAvkZ1Ikot.xbGHegxeuut.E.NXoTqfsB+QPYQ5PN2z4qz9xYqfA0s5DfUqX12WiPYGueTIfy5zAgqnliJENslTnJS6iogzDzSXS2BJto9d3P0wDpdcPfJl.S0OF.anfehi36q+NMSpD3WD3jY.gs7r0TrOJckruq+5ng7zq0Y.3gr4ZxDmvBZQPRAT+1GUEUJRqHYfyexcSOlZWWEftTWc2oJkHtN4oyTU5JcauoNE1JgoOUTlNHPfGptBgIUAPry831Po8Bnh.lsIKtMJwl3XQalFlNFnPPKzBwLMw20.XE6kBKPowE8Zo3rCncDyHrJ.Lz9FHVAbG0dQWcceavbVNPtn1PCFM66Kc.QjnUMEyeSIt21GYhRQVgjD34LSyfMcKF7izKUfBEMJZ+sQoQNPEbYkllxCdHqsrIhd3yjgXpR4QmJJo8nYcBvz0yIECP1NAHw0poyBZ4Rlm48wH16suThKsiVoNoaactceVPJzklxIqQWiqawgAajnPhAf3i5Mr1V6GYSTdtoUsJgus1PO4iPdy.vifD09vWGc4icjjaMZjno7VTPjJv7PQmrb6naT1..7nxNUA2s0lTCjQlAflZaRwgDVvlIkmuIOgD3y9hT1.Uj.f9EiYz18c0nvc5gTN1RtFupsbTRBfVt7GO1eV4fwMgXFaXK0DRPGi.kkbvqnSF6RMM8N5XB0Wqn6bv+41GO8dnAVgVTqMSe4SSvTtxUuSExMI7Ji4xuiBtTg5mHFy8GAWDCCHfSNiWNbVgwhNypPl5hXBMoj4DhLy0CnP35+1wXR4ISAFf12g1.IoZKsBmS1GMH2UF4X+YVFzqCkifYbg.HkJk6vauE8HEY+JlssDH6wW..kVirIn8+kwd6nLwdSY8Wa7O12U4So0H+eJlwC8KrlIywJkICeVNXMM1MpARlYZtR.sngYh4JTWxN3cQoeLeck3nNsNJ.GvwjokvT2+C7noWhYfh5PwttGswJFliClDnI0qMYt3b9txLRdvq8poMRGzkLE0u1mLhozpapLCcuAmKLxPos1zoOKJDSZlJmDllYlqpmy9LhYihB6xcqSMLSQICl6eoCf+6KRhTKI6MjxnQlX5kHByzgY5KAbexx35zzZVcqyUfIGy1l7EBLZ2ay6fg8nANWYD9b0lLZhIobpUitK1+CNegO7kLn45AAH7HS9dK5I3dnGSA3p3vhd.aZ6pN+QHwMJCAc31AqskbGuFDsBHnc+lT42jsoLvBkTp4hjNQo+OnfVTqASLMZsiAGhQMcczLCYTMlijDianREXeK7iTYUVp36RVDLMJCSuj5lBSuZ6iDS.zj77Tp0ZCaxYbJANXaz9vgRlz0SWYNWaOJ.XNWaVXvUKfldcLXreVmxzckVLZtsTqXlcUZBNiU1pUkuz8g+SnOZGBicRjF29ObYLVDthR5bt566pFk5nn8bfk2QxYQXPyyYNIaxLZyL885CwHrCpNkeTSNKxUaMMndiXVOYlFaE9u7xp32j47r4P6hI6Lpet19OLnobIWJKJ1nt20uv9g2SY3oHTpzowUy2qe8vUoijt.oogn.pzIyBAl0cmTT7AIPCntOx6G5WscuwvbQo1GCWCPngFzu5tV1xfAYy.UVozgT.wt03nVFzSG.pnxXZ4FsFYQm7fnH6k89CGLT3XFflZTM04SIVnWbT3bEVsB5zEW5hYCYRQTnYSF7o0.ozkng3xwR2b9l52WTXAxoroa08bCLaKmrsraNtpSEY.Ikoaf49sFk1I7qieh51cnQxPgM+Tu0IQGWkyk8dEiobPvjNYFeCk.6f5tJGsLYCtFKp+oHXSA1wylajNXyW2A0LUEzjEhVlAaZxLM3mbukfCl29IsULZ+fq+GxAjxgLpuMV7L0SE.WJWOxptqzcfxEsJqEuUf+ASA1HUuDz8PLSda2aDT8PS9hk0VCFhSjgGEpUASoUk99ENYHh9XzCa46KiIYIqzCnfik5pXF7KH6AxPkQ2tXgN..lJNmvrr22W.E5tqLix33U.trcK9xAuJIXiCfX691lBhK.I34YfG7sV5ZLLd.WDc2r1G7EoSPuuSfRa8l70UNjYv3SABpH.1WxANnwPoHqrPJUv4nI5AXXDYXLJ4yvDqQDdKAP.RYOxCSLcT7dtxMc6XJ1XiSem5.O7hhqIu8nUa58rdJytdcoc9X1P96oIxkoiFIzGm4xUtu6FjlkvAwhplMkA5gAcKxUbzEsSEP2LcJkNiRS.HxUxAJhhxpQtzhx9uLcfjwDkE41P27EyJcqUhIIKXCDCJzoRbSF9AfTJS1YwNsN.mC8prq7TLyyLSVZhIncDk+2.KhAC35JKebGGtNNmIOLvASlBn3fKnhanAMsPqlRUCGEQzhJc9JkiHsLjaCXwj35HNMpH79yVoCnAApmO0nYe2aKLjjM.C49vboYBzpYYSrC3VltHNnx1TrmfXRFys2xTs+Fy4gN2VqFheIyHgKKSjdb0BqE.0H8f+H7BXpkzBlOB96itTXbaRcgTrW5sHX0qrGo8xHcETlQo70a684d.YxPshkQiTwzBRE9WLCFMlH7gIn.1DQWSyCp2ngNATRlckg4zNNfUFgW.SK.8bt0iYLMCq.37qbO36mjACSZCWA+OGEy1yTNSkKaAPRYPgMfTgIHfkizohksO1RFKLbbS89cMyiJKp21QIYNJFVaPg.OXHkkYo7X4.WYiBPHWI7KXhmJw6DB3g9OZfvw.2I4Blkqlowhfinl7qYL+5KyxVPmePKEK1h5B.bvIJYvfJTkMYUoPtTNfT3sJmT1ayGtGAJRignorOzxC5Mhrv8oC2mYR1fM8.540XZM1GOvAc3RFlWyX9e1W.hINnzmES3i8OezbN35ttLaznvultuSCRTfQPqZAuE5FVaEH.ERU9cLtSxqFc7F1jgA+wNQXE13qSU5Wqa1dTXCDYnSuzjMTyrqOY5ZOTto8x1wZJgAo4pPwJF.+CCNiTXkJj.FLM58ggdqTLTIlUUfLecORw.Sy8N.ILGr0gIt7iSE6ELyYJqASmJEQt.EYXlrP8m+.OUAHZwc+9S2zBOvBsBJQ4xaHaBlWEZcPOlonkaKJyAdGfmWHJWybHBSJI6bM.NJS56vwNKQ2ZZjwqhJderkLNQASmbrZGcSQsYfS4ddwVzQ1D8bcLfeq.qqUWIvU1ifV9Nnv7X85J2Qf7qNTQh+YldL2fGQ5tJ5kDYRerbnfNSi8SfoDFpHSsHY5nGsX.C2lQSjOuNLUHePZLP2h4Ix4GXfNCxuX4HssnR+LywU1cah3moTB3DNXnYsT5DU7gptBH4SikCKSJGhUNZoMAPObSmLSt9QCXF.8gXXH0ghCTonrfWF1es4Re.Aop+uPnE.lBSCrljmP39xFo4AXHGnv.f1cPaLA0pAIslXbQllxZImVU5uITckqWWAcLNNf9KSmJhtgCGpm.3xRYhLbCyrNI.oHdvfZ1bkuPNwGiSkYS1dxFFBtfExQTLZGfZ6SL0.IEkgDSc8BRFFKzDMLRYLtqfzyT+W4Q.93zLBCGPIP7VuDC.mqaWLxaAyigoACkvA5YzBsrlcX1cHO9ZOwDxAhWglB4zo6l5bRgLec8BphILchpR2JMiTMwcOfEBHqnggIbl0iQ6.eWf8IGrivMaz0YJImClySJhItVjQohoSu4LznJ4LPFWFFaJvgr1fnyg0HaG2fNxPtynmV.3CFKdkfNWOHSmwb43rLlbbsCU1c0AVyr7ePsSzZgBlV+NCCodC7Xw3ndLwgmoxmkfwxFwTaaPBPvnKvfuLDiTFOWqXHAbskRYtH6SMG6qJG9xoEyXNHMX+qwAfdCtWopH9FFlYOUaGDm.P1sZBGKwLed.mdun2rKCbGNTTxDltNrOMTpJEZuf+7CtebbYASPSCbdB8.6lDbFgsJy.Eor1MylCbXwPuMxLDHy0dT3Bxjz4U7gCmjW7EnufEjBwC4vjrNANfaYxzDo5dx4kBPo.OfBvqf8TmyEFab37TXFGGLNaYPcGSc7.LTZpTCnaWKIzkEHrUCyTETFKTTjRa0fE3dv5JsFHfJsbYbAH55X9m9AZrd.mSbBAkSJByVy5J5TZEpbISwOL8+9HFXDkJ2.N7eua4TL45xdvLFxpkcPo6CbKCiSCaWlcIBK+8LGfyxQxPyHwX0loPvGgxCruJyrcS9lWyA+y75dnj3nBW8ZtlM6MNH5GfIh7mWMoMmCHey7lAHnLCbCvKfcQDHgxpzv4PzbL31Fc06PR0lPqz4Tskl9MYDDifqeKUnKbHV689rTLDofIxYDx.82u1HXGT8AFrhIHXqaPuILC..YUFTsvJOSt8nJGwrLL2Oa4sns1MDcgRtLc.qMJF.vXBU4vDqzhfGkKVnpdavfcpfMzQR3J2zifns1vE4ClrBSO.mXFRd4YxsX5hLHTMwLi.HoNFlzNgzIA5bkjN15D3BXxfEKFvNENtJi9oCjj0cA4MahaDNZpMQqCTNjcSDXJSc.nJoltboXkSwFiAL4nRgxQWq5IqBbUNHaHWlPfeU.sYJfk4z0cwDzpfLGcPMf1i8B3TJnaH8+ERapX5yBiuOymJf1pI2gICa0rfXrTxHIb2aHvPXy.vbmVyA2VN22IxqOpPtSCOJAKtCuhIKzJbS2vCOHEGhSGNWwDtKC9FBYPLo6t9spPXHSqVvd+592rgp.InghsfWigYtTPLcHk1xD9HwEzl7DuH2LvswZ3.zJjSMYiy.QULztXty7YBnBoHwMSpY2zskd8HFLKy.Lp2hfZWpzvnaF8FpvZOHRKlra63yW.8XJmRzepw9b9XaQrdPFISG63RebpwvgovpaU2vWiVFnTQZgpMrL.5t.Gup20YYGwbTLCAnFnpk3DrrI8fF9HC0snmGF1vgCIqNiVGrK1zwA1qIyFibaAMndTMNj.uKbRjZ.gs0sQ4sfk.FLmZDtmyWWTU8fa8XRHL4snaaEKKqenwI6OcICiEJ78f4BQFK29ogo2BkIPN0gyZLyvBCIFPdYkc78VllJOhtbyrhYjxfYvhVSZQB3OyLtD.C2dPB7yb2Plz.LMbMuVv9tsjY+QNWBhgiQxHsubCmXsL3TLny7AosZr+x.X.MmAe+Xh0qH+bYF7EN8VZNhILiB.UomQsso8Ey3Az0GiSFPFxLEKifG.6HlSTMO2f8.kSvvUfGCljbWPYLtIL1zYp.Sw4gFrqCOcIydEqpioyfL9rLJz52XXvFbmp0jPzi56krmTHlGAW6ehbALmBpALjnfkEhC2X+MgZkzXFAVl1WHeJmpe1hA8qV6N.oivjAbZvWiYJBGETVvH.enfNCcWkhoiDpm.vS3XpwFsjl1nmQ8TbyjJTzBv0F5TrmbZ5z.gaT9kPJGRtAmPlGUbdyfd9cE6BJ2R6S0acHFDkEyqMbthEFlKKTgfRau2HDblfZNwLlSH8ZHfDHZqvUSykUl4f2i.TKJcfU1oQkMj0InYJLsZBUFQrfhNOyID.opigyRv3Ib50IzbERjBBeVI5KyYC2jbwrcpDHXXuYJK1mNLVXNvEP2plRzbDDCTnL.lHIm5IdLIDN5jwAtk1qLibzFzNvjbS4g2ihPRblMz.KAs33vLJGdQjOXTDFNRlBhsnh56oP31muHrNGz7GU6pkNbcCPF6zcQuSTKHdB6WqonTG7lGVOvQphDk.SJOn2oUL3OAJapCbJK.KGSu8KLhyoPJ1.UDFTjWCJvSwmRcaZUGwRLnATiZPfwG68JJ2Pf574AoMNcUgjnYiwQ.DfXPYJDJzBq6v1k6SQq.0wiZjPrjNhucETQbncO4gi0LlP1BDB6IMqc+5Vf4CcIQojvTy9rnvlzJ3J8o9e1etRQ9fY2FzTjY38PLkffkfVDPl2LxHzD7TB0JACm4BMEbg.ltz+wvT7nTMJ.ZPfb5khKMGHtdDWCH3kZd5ZPi1cFPKf12YZ5H4ko8xxkAHdxDtDx5FEyFpPkDjb1cY6YCt5iY2wvKHnmEAymq3NZ6sfAU2RsR3yprrSlFoCzs6KPbB4HZn8ej2gdfBBCnTInGnW0N.wVAxlMiaK3XIHJ8jgqJXjKgvaYHQnbZSK4J0o.tyPp4bDcHMHk.TlAW7471WXvK67ttylZG94pHCsAcydDJfggHXPar5s31YY0uJf6cGDmOCoxvksZFB..tA8HYE+KDgIF31zI3FsOsuNKEQWzo4+lXq.xxLzxeA5mSjXSni0QU6MiAPvKtY3jLExgarmBwPGXxyfCrWCxRuCZzMVlvh9dle.ePTLJEeLGXTnG6wGK7wIZzsL5MpNsAJCofvXbHmbxsn0fmB8uADAg9Lb7hOL1MVSIxswzTnvLdU.IUrKIuGvBLbof6PJdktu2aQ.VXZEhHeLXwUGmfS8aoQrmlcs8akXvOT.xc1stWFDPv6mHYSK.0houfPDBiJjMBUzNY6CEwGA55BLC6hWSALloATvFkMm5PhVTGtaQrvxVsJXPl0TNEvflSGDP8UUz+AqzTSu1XcmiXP..w0kfDQLZT+JDz.pRXsZJz.lj3Irkc73PvkJD33IwBwcNInJCJ+NytYwz65fFBT7vvckECGR0BhWg6.ReqYHulE66gofYHIpFuP57JDLFcyoVcrsVKZWvrSgCfMNLrqGiENCdXAkMv.dUxfrUQZpATFNMH+TcRQfAYr5WF5ckY5.BcDtqwvZ.nwuLZ3ivSjoYUJtN3hVRKSGYcxvSDXdCsSwwPD8X1O31XBuYX.IIHZm53zP66JNgHQdop.osjdkCLfLkVEEJ.cVWu+lS20FA.gsnAh0ZtQImAL.9Tg1cjLRMQHMKEF2gCCsxGxt87jvaLfiIMycN4BIeZ.eCJ2gAgcveZQwkZkfGf2OwVUDEWPQkN6lLEgMflKh1lh71M0lzNPp4CkkfrTc8Fmj8JyfPnbcIEz2.IcIO9KP+9vf7EJGAfIqQzzYCnZp0PQuGgRhZ3PJxXAjMD3Nmcp6W+j8.8VD9JEp7wbtE.EiBpWAzSlLblLMBfs.kyhYimtKztsEMxGpMsZYIdjlHHeqhivAINMFC.4yRqbtdOMnVNfPrL1RcR0Di4.DUJpqYyToTT4ZFdrSBSmqaHGQcbPbRKihaPHg3eVgDfLpld3.cTBuKp22JeOCzPn3tKDRFEzK5u89BizIltDFdGqi1xBAGZlu74CSgZf5DZVAXYGpInt2AtLfkAw4G4fgUMdNCEpjbDBsAvHD5Ph0TAcEEH73giRNhYB+.w8lIG1wisvoiEJTphRmNKrO6FDETvwBbsmSMOzADx.mBPU5FFMIj7KRFh251hFKSWnmBLP4GFpZbh5cg4VvH1Q0oencfwNj7etrbhfLEiN3cZng9tCK1TyEFEQzIajYBy.kCFWiXw1yrQQIiiB0x.gAq0eLc31HT8qIzYqAol8fjdiKbyI2WjRSGdHlAU4v7g6QdUgpX.CDY.PEjvudkna88iIXXQBRJMSGjJfZZSRubHALUjGcGaGnjGQaP5Db7jJ34tOXX2f8ehW46uOJnlqHJjrfXLlCYKli7GAb7qryjTnuyYsWd4n5iFzokrczRHX3NvOv+ODndPijtmd8gwU4MVwj7LltwwBkzamZ.+X.IioBJSpv7H.4G3xxLEeJ5DtvfML5.sSjDJHVPgZ6ZZSQIRlndhKGc5.5IgqATii7Rz5tJepqcGqnwXEdXXrnrRhkAKah7Gj8UUMbDUPK8jsOSG0JHAnDoVnbPV3Zh77ozdwokbf5FGyIZsaC7jMw609SWn0tUD6hCPmhg.kmLSxGAymObQzKSAZuAshm.zml5SBG00YNopvozNcNhFlDYFVYd.bRKKpj1P2ILBjVFMHX+.pbMMdZZZzYqbhDOn3HlAHEDHABFwbSwjk.j5xRFvBZnyL8sM3l4JBrLpHZ0A0EPY0L3u+pgCtX.+kcQfRVMvCs4sckJjNwI9HbLZZhD30CRMAHbubDYH5SID3YilbXJYUmvbY.M3J6XyCENSFyLm3cTivBROp6Uzyu0zRFXZCZTAEH+W6P.mOgGvZfj7hSjyygz1B5Y6gbo4dkmn5ZcPdIJsnQmtazTTxMjzv2aoNgbVApaPAipF0M7fowjBKQ0ZMQdzP2KGynxAN1PFdIO3Q.FGGy7eUPtRpj2KnpuueNz34mBhTI69lwXGDtAQbD8yctuTXnER5Thd2kI2hhYBfQ0uYPiNXHwMlXV.+U8JgdPr+B2fWug7jf.rpNB.RYoOX.pzxvL2bJBFieFDe8ACe61RlkflYO.fsn2FSG6in8ugNkPgp12.jSbiKBT.ChuLnZ3HwClpezo.ZxuqFoMvWC56PGhCqsG2hJJMBmWd2TDxSiz4MH7q0IQTsYp9JS96.omSWXFFSiLBtXvrnFocKQFdPHlDbdY4ZZezOAZlcGcXH3tByKELakYjYlPXp6OnfxRCbeNgJACKNIGkLZoepd1XRdavfcJO3vz9N9BRo2HygQtBvzxIKwzBWcCaR2PDNmF.o2Yz4h4HQqf6iNgliQu6o8yLzc6S2aLC5rFkk5HkbsLALwuZXZj4bKabeiduPtajvfS9hf5xqQm9UHxCGF.IlQpoTLWwFTlWCRVdRFmIJXkavjJfn6P.lKt4r.GxjYC868n4ftHVnAjYzrm.3MlkO.Yv.bsF7seyH1JYnt3Ph4PlaeskLI0okFsHq0bdw.OYlrrdabZ3a2qHpmfIcvltPW01YJDZcCpukQIo2LgrAOoDZi8.vlan+P.nOXuilspc3lFVDS5DStuR2pTbJbUmHqpzx5lQa.NMoGCfWNj2h4BWgSeG83dY7E.d9LG2GPVCHk0cqPtDSV.rH.8G0M2jiYGdF.nw2xNs3giqMLmQowVNRw.PwyDoA0Haf5BTiNXPEU+p3J0Pl4BAEEnfdm5fTD0nAX2TQDNSVVt.AbGHWRqQMOfnbJX5fIw0AT0RlwJSoml.IklChx7LfdSdBff75lzNoNrvbEqXDybJ9Ehig9bEvmrCXXLUYQcog1DaN5NlHlBp3sxngZ0.gErc.muzaECmO0nIDPKqnQkcCeERIMgUtJYsyt5a9KcrNfjErV39PYUlBXp9fryLvhGBhtxHjlB0Un3p1APQbQimJNUmG3BBE5iBZMplXlPTyAeZUlp1xgCiIIBnGQPXY30SXLiUqRGLOlLYAFgSA9+brFibvnYtGPjOB30AteL09Gc7.QdfxfsGgBeq76DZPM7LeMl1i8bmAEuC.xcDHh2Mw7T2XDMW5R6Q1If7KXQG70hrsaJc.CRK81Cz20cBiZMLfIaMitsK3Zcf3Raj4R2TozNVKfau..FcSMnf5Ix.eyEr.59FA1mA0CRkKxlAuAoODt6Nv9W1fR6EiNnhxDnJ0KNpIeEy+Fz66DGVFDBQ89iwbhQSzPWnwzkDbyFSKuQBIk8VswjwMfgezXbtepsuPcMZa29xnKKK5ieDhl8XK61Iqb47.YCsdCZoL2Fvt.JWxLSGYyITfArb5Le0PJ8FHfjCFZiNmtnGGl9mBY+I68LAUTxOybwFp9Ao+V3EoQ8R01YxWmYfCXK1cYUv5VYvLh43kCkRaMjZ6SnpykG9LTJgbPUa48C.AZTK1LnIwrK0nabZANE58HLngovtv7CYnnYDhprg+ZXlaVAboBATbKc4Bd+kG4Xd1o4PNxhNF3rFL92vw7ljCYjlxQ4K.etQn1ZqA5YVvlTNMRdPaWoiPfsbyHthLERkWvQz9HnY36lZaZvUPq8io.iSbgBi.uefwiWa.ZE3lBihRGVRtlfSKQAFcnbhJdFS1G5zcGMPrnysfsi8A1QYqgG7PfcZFnHBObDScYi3dVNmazkQlbpf7LFFnnfF7Ps1XFYZNldhQHfPni1a3vshxNXvrlSU+Ln8OyNeXHzJhDdwjVCjpAD8WEV8zkAIgQsfRDfB+RFFMm5CQ89ALXIPpv9n9AfF7bB59rEbAeOZkHQvIYGE.PaeiIGeRx8ICcVwcJZMDiHFUzzneJYn8enTb9ztAMAkwfsed5cI3IkAD6L8qCI3zwYuLDrCjJCJdfgXc0QqRzqGYkt3HaX8R4T5RvsEJ9NimY4qJivIxPqlFl3kPtWBicLqUcaqEFAeGWOk.tgrDAE358dL7dU3OXGaMuz0GCBAFCMb7KkrkrNY96MmcoBrcDBw0jQ4xTQG3MrFsDIvcYwQkNDeEC+kd7HHGSi0n0BX.Ibczs7fE8oJjWsjA85cjvcp5MHVc45BM52NX4AwQ0Qc0LxuxLM01Ww8N1O0KLiUfoUnsHvd7dHGDj+SFHzS0UqFcAhYq.mbJOmisosjnrzxzHB4BMxzAZ7EhNVmV.CmzXfMHkLaPOmPJeWlpgEocpMRKFzNDfh88V3PNXnb9LbmISVpxrDXdtFPXTwVXdIlXENjD8ZLlC6KRSDPMTJ6ADnjSGLPgtYmA0GI6re.WAPISYfqLMii98unQDvw5FUTf9JSaYVfJqCmXRRMIJQA7.3+4pI3sf80H3CYN3nXtmCuJzCSfwnSHNoli3dAobbZUD5Jio1hAMOxKeXzronFhAcAtmq6n9mE1mlA3TKyaEYuktpcnHImLIzlsoPyqZMqdDkxvATnTv5wqfZrcJny.rACo.CVIL4tSW.YVaWvcF4R0zTqTLYM.5qC23kht6w1nBPoeXvcYFFeEE4T9fVU6LRBdeCZxJPQ+goO2on4jxoLvOVg1lrpDDSHSsChWZNUrF7sRCrY6QyHnpLb7iLgs2FkU2QIvUr0.QApXNy6CHKxCQYbAInOM4mAiifYrfwz6tTihVFWNQOZbt0TXZk7IPuYFr01gY12q7VGVzNCCqaD7PzWSrnVplAu5jv0RX0YDpG5t1qurJQ3ggFthQz0XDSuji3umHLZ8tKdof5RgiQg6qLAtUBxRjHTgfFLXjg51lH1mUn7a6yCXNH0cRGVI5jb8gSNgHVI8xFD6zrqG7+KXo0w9BNbTBEQPIBvr3H6MlkiBg9PkooMQFpXmn0ZyPauTh7lgWBtCgoNLTfamrc.c7jwpAYY2byuALKVPDR.8LyJGJ3vhI9.LEWcRULfiufZzFL6rgs+fxMgBF6.gcWt9MPJwQLr7Jph1zIn8ZuWFIYWuGMd.NxQVYArdXZPccOm.kV5kXO3x97drKE.C.NgrcTc9kOhlRBUttNZFRQXw4ouPJ+K0YnfFenUOsqauaV4QApPUWSGkudZN1ksQX5dnE08NfFTspB.t5vB1QF.Zc45z0hZ0.HJP9VDYBr5oUrhZAgpqTZmvVXFuDGHcsfEDp2wgY9ajEQZEubroajoatu.aXvnWHZx6WLlAoeBf8PjTJVdGZgKdFS+kA45L6V5UBpJdlrKbCAmtOICqf5TyMig.HNgNC6pd8kWl9OSX4f0QHlJWmsIGYlEJzrbXmGCn8ffI6ckn.5Db01GBZ..C9KcKyQJlo.5+jdOCt5xM8YfyvBvtYTlFYngICV9cHwhx5vhKQZuG5iHnzwQHHUNtB8eQ+6Kld.P4jHvXFYFj0z821PGqJH2Rv9DUmSVvfG7Y6Dofce0DQFqWjujxTtc3HARFD0JJAFn01X6.RoWm+TT2TUroQNKj2JrFTONBkkyPRc.M.BOutbzkd3Hj6Aze9tYzFB09oP5rGwnU2brnbL78ZaJndzs6.oVqdD3FYJu.FLlTHJd8pQqFGGolknRqAuqPiIWVsgHiZvRAj0lI2TRRJm.upYjxrY4SVkV4aFUee8iosBLpBTZPsCzQ8CA6.gDfwXOser2QKnVLKR.BupgVuP5dBIWGtlesmvQXLTaIPeWMTYu8lZXbTgY56ou.fLL52O5C+XYlmwP+DX5DQ3TA0pFpAOHi64H31qkcXtzVelicxBA4fz0UWhpih1B8KZl+9f0gPIvCVkX+5rdqg7XIa6zKLyTBGYRWo7c0ho8ngR0S2glL2nu1XrUn08gRPIXVikEouxvUm3pHKngSYrFwv2KWPzM2szg725DB1gukyw3Q0LUL3fBQvfjnEuxZXATWvHOZwFjD2rf2kbia.lX5VqICRkXXGl2ka6tgo6YLwzhAuIKNDTJ+Z.pnLd86t4afVq.OUbTB0KdZvy+DhNDZsnXHKIpaBsjA02kl4uObFFsnFrHzJj4USidjCKJT0odNYvjR6Doa0QatfL2LHUkLZVgPIMJUWACTPlvEZv3NX5vwtYPJIAjz2Kx3mHaGE2nt5JPSkLjCjnLKTJKcnAdZQ+d+Dxw4rQDRzeT2DWg7ZxgVhTJvq2dKiK5eISQULAnl9OL.aQLFBfil8gUMY1JnvSvigkgQmjny.jmtdmCy+aZ9K62JQu5bcpniG9DB3FiX29HNNB0ciBFi8eijKp3XzVSPtRC5rxvvrHNQJ1NLdjLcMuEhLmNALAUqCSYWCBVFJg1ygh8Sbn9AZ5N8BwHcDH4ES5lbZ+zOeRnxlmr6yjCAdCM.nTIIf9w0C1j1IXfgu6ADwDwNteyL8ZB95FBj1EhDjoM7hRM.EfIGANkxHGnnKQ8xMksiFk2yLHPc.WmgSdNXX5ellJYL5Bt7obDfiXhg1EvgR2Etko.2C4batBl6QKawnXuuGOIjpuCTnKnyHiT8Amn.w1SMI.85tVhVNIKcDLe5vXhVA0Q01CpopannqJzbEvgR17b190quAB+aPgsYyrDDioiLykasXm89XhAfis.Ew.Dcmp.Tn6KUPFP0z0gDjeO8WBXKYvYOrtRHrx2vB9UG4ujn2ljgU5vnh5IJF9fXnQ.UxNcrtP5+zxWXBC3cKGv068wIMifgcx3oXE7EtR.m50VLU7mpaq3Hlzshhw3gB+CRYuyo6koBJ3hEr3hTxnvOL0zcBWBw8Mn8cqQZcQQgtoLKLDRtNbhteL650Bft2f8H3tsX.SRA.MMc65l4Ek.HZ8lK26CrgxTVEjQlg1LonHGjaJb5hYkCk2IJKXizS2mdbBYNpFH.YVLLrYE9zG5pD1jnZ.XHDzBCGVnLhYClDPTvBMDSA.tOhinjVGjkBJinLlue+IrRQ75P69YTgesMYjGThEfzDra4QZZAPIigM8YBo7vLos8F4RqnjXjW5N0lITsvCDpLXdXKm3h5SUfo5WGNtyAAyUmSk+jBbhiSeroqQAKRvHjTs7UyQ.64Tv1mlNOzY6lbGJ+gs8UW9TMfYZEPQ+nRJNMTT1XPjO4jH9gLwFzRPWeIT6WSemOIVIMzkc4GhLJcPetAEfG0FmhD0MMhr.68bv1jUxAc.TBKZpHThLza29HqjWt5JTH3t09XNGDhPBJSVKjlBHpLHKXaZENycbXBivxjwNa3GbIYRpiWbhSOTlHSjGHI.LkjKdkaPaYChzJWgcZQWUczViRRtWiIOYsmXBuo3c4QLJPZgT2ONHF1nflLLPzxLG7YpQGYCrf6LhbRrk..uLfT6qjRAz70oaLHjbMGicCKAgN2FyRhAxwJ9xHP5PDzLMFJErmyA4JnC41QOtiPrfvaTfNSL.tDMpDhD5YFrM1TUjUSd9JsrqgLvZFAUGDD7hQWPSoPuY.Mt5UXde7zI.9wrDyFxXYmchPItHuSX3E+bdWoC3cfiRYXPXXEEgdBjfiI7wMq9TIybTAOvnb2T+ffo8yGdwrNjNEZQEp37x.EELaLQ3DwuzVvZmBl0NJUEADZ3rUfOI9INPWAyE2LYzP4smLl.jnii20YR8QfMG.6SGaxAIFpn137peFzHS1YH8jmjfmpsSwY.F7joq1zmLj9odmwEiweL47kC9xGLfVYsxjL4PkCZokYUPA4rbCdnNpR3uqfg46thBP.HHr7Sp+nQenyb.f4QsSw4bAJiy9xBaMNdM8jBdAwESQMKwXa5RkC0VGOyTP6pUQvGHCCTFOYU0THH540AwjQoamFPVEHNtOBoYghkXL+FhELk9lJMUSGNkikl4jPyRVnsdYGcXD9+Ix5pQ2KNn3bP5aPGLcCkdxYcz36ZnTd6GfHHEs5h0YvAUxpj4bJPms.iJcGC9ADGiNVKCUNRNJKazzQIJ9WFu5VQsVeVXsK5MioVWJY3RjlOmGcwQlfruU19nVkw1DGEMSkcn8njOpaxSfymRsvYvx1.8dz7oVTkm8DuSfIjYTLiI1mHDwWaJJ4foqYFPlXNmtXrf1o3Hakwo1Qy1nDsfMQ5VjKoNlGNRUDnJTsRgPC1TaQxhUCCQEBt0LJzqBAOMpV8EjnSkY8pLTNg4JLQUfvBqqdAd2btbEZEtAuq++I3WBCiQ.YXePsXzksY5fGBFHB0KTJRuYpGJ0x.ceICk71McnD0VLHGmfTyclDXwNjdEvmxvboOnbyL5KH1ZkkoPcnk63vM3h8b2zNENv.8tCx9Or8cTwUigxwwItlyjO.v0oBQ3NANwF31p.gPDlBNMSatylxmNnK8IpGxzZslAk8fQwEPBZHAnHNYlvrDZkT2DX8fAtC3jcpKL66pSiQTMCn9sSJNB2IJSJSiKKeCCIu2h3HYLNjE90d0.oE3OXAKB2cD6LZQOHcZPNn6+rxOAhAH7eRZ0cRCTzE+BYKlQKxLNtjK+Jg9V3MXxsLCj.ozWMXxlpCjLD2lB6PYOuOVVFXeZ+pVG.HiYy6Opk8BYkg4HZ4TFE8H1n40AZ5sDBen3tc3skoIbI3yGD+QHtqQ1n2OPqgDs9PoUJGANvmQaFBNWqG50Z0oLJzmsXpFWtrrote0ByAVFTpXAbErrMr1KMFKUb.1YU.FI0fg7WEGUzAIEpbEUBf6GF9SPt8zHfAJVK6oWN8HhZYVlQUgLX4JkPQxA515du3B9.FrWw+G.TeQkPL7.DZ8.QfDhITdWh1Ler.yC1ajKt2J4N3dmYcCQ1vzV.DbNjgYkJmBRXZFkaR5C0TQ6q0hsqT+UpqNStLivrK8VvsJDrBCq0xzXGNCReGmXQs4FIHHUynarChRt4TFZDxHTA.ppbwo0NofqxARwAUM4.NMMtE6cxwBUV1zpqYDxQMOOAQCSeiBOKzjPi3pFULA6SKXq+JbafQAj5qifMMHh1lYlxKzyAFMOsjazFW41Rlj.byra0NfkCTflQfEFv5liFwvNFE3A7oa7JxHuNPFxFDw29FPRgjg15Zx4UeYuvobJRKiA+a3jHEzHRHjqT.SKSCUF3haEJ2jh8XqMOECwDmy.MPPy2dOWjEGPhipUOLLSobzlXZgYLzS68LGhdJ3jmxvaD+2XlVnn1PgFsWeTvywoY6bjf7yLbTHy2ICKOGTgDp5lkM34ElaeP6TsZUsFLwIOQ50wbXXXq.FwsXmuBruaKvINffvCtgRtrUxXgmVHjWDxJm5B.ssSULfy6bRTZ9zXBGi+wzb9tgYbnbLs+u2KlJtkfkoAkEbj0xo3H3gEnBcjOASiWBlcnh7mNNoV0lGwNkWZ.Drz4bW+ynIQif9RYzuMQx1fnPNhYA.3wYZSyhD.TpmTP9gYnKZv5rnQbgVFZDi.P6QB7FQeuc8atfVqSihVPkWF8r9jvpFL5s1xt8kHf2i97pEkbaepgMjoOXQaZU+X435qfZbfIRSz568F6.Ag5HaBVoyv68PZ6JorUnItxUqYPlPbtXjfBoUZ+UFB+dPSCj8QYdJaJjBS0ELoot1y8GThdtPNBPwaCWklGT.1Fj2JamM6gX3TZgb6R4hbHrlR0iptRb56cVwHjy45J+Ot1KLnsxPHBPjSs8fHLWB42.chjcHF.qAENALKNQpzSi5IbjhZG25Jh.HHr8znvAnMjE4BQVYJ7NMnE63YHJ2tQyZpmZAQpg.YUpNM0CmJXkiQJzLj0KPDzI1rELAsupAwfguNf8oP1LLEyjxWv.CLh93r+0B8efp7gFlLylzB6T+7zhD3rZsN8vgSfSfF9vwhBnWTxZ.mCwlti1rGLTWOWT4cVmYb8Wnkhihik4wrbIpKQqe3nYf.CFSJcAURzDDAiaAGAlSppTyHl0TCQ8lDFksN56CckRibjVHvGZOpgxQfSV0FNlguZ1PmyLDGTGEcPGE4vR4Hi4oAAHoHkNJNhqiHdfmOPoObmCg5fqjDjxDpDhX995WbhIElDtg7du1RCncXNxVD1c0AeNB6AMEXBN2ZVkRRuONflpPHGLS.LnDCgMC4WoXbxJSFMnsFl2TCJLyH25kfLdovblR0R0FKA6JgsZSjqHXH58LPBk3sM.+kvGnM2SNl6XQ+A3D6f92f3QcX7rThgF.VXQQQqyMlLH0RWsyfNCQy2cNsfFyiPnGTHz8TF5bf9ZRIyJf618ndAQxNGv2Xp.aL8ccUCQJd.004.XQP53Hs2YE5yJeXx3TlbotcLI25t90VGIIUkSU8AFtyn9KLQKnoXU34o09z5A1Czu0kBdMkMkdphx9wjX16wv7YL5hR6BM+AX7NLE9OHTccw6HwftCKzVOXI5T.G4rSCx.WmAmZQiBFNbVq3PovLfV9oSBJCsgrvr6bhgc2uGkBm.Utk.ORFvdiFLARggYSL0AfplfPLWQEcqN9qjZsCP4XpFyNHRByogjMo03Ehmlgw0XvxTDJIVVlFxcLSG10pVP9+6itic7D0eG.urmhRPAS6vAu7oyl3jR.NG.vXB5GpLc0DgVDLYDEyLZblh5xDXlXf8ABP0rMZF.XRh9+0zqk88eqhdwhNug9kejlNX6AMojPTeo0xlVQp7Tlnkigxks2EKM8E9Q.xKHuOX9P.WRzuoIfE1vudmjaE4Ijcy6YjFYXbQ2B6bSuuhjvbTZ4hpNAi96Fi1IZTodqDI9lLbM3f7Zf3fq.eVm6X16PUeKzx9hoSjPQ5kuHnK4DkR.6UsV.MgroRpIZHaAdYaAOf4H2k4IEwkNlOf7HeaCCwEnZBoEXj2qyyIvW.SdBwgV1iN3DDBHUCDvThfbt+JiuMvvPuDSUkQxjg8NhgsCx9vvyqLHiclc6LnLwLyLANG3sBBXX141rn7vPxlqx.l1T4fVMwZPUqY1LJYW2mk4nLE26fBKsuPNGwrohBKCI1a4lSnBV551I9X2Pud8xIdSBZ71UKZbeqObg9lioZy7SPeJPXAPBULy6cFIWDwysAKKYHUnF3lIFkcLHXRrAQVmIKNP6ki.hPY0viUAp9auJh9sBEPN.2mdGx7oVcfu.VKVY3zgD7LIrfHH.9+4exRlYVKjYiNJc0DXmcX9zLtxglj.oYe33FJziMRFBdcH7yYZwY7ZGbSKeRl9PF.TFqXjXQ1b5ZDuEgiYfedNL3CB7F2QAtAZ+6qGNx5mrHAWXvr.aVo6kXzgzoKxrvAPH1DACvw.jZFb4L3ASAORfDi5JatxrSslCTjYlT8BLti7dmCcXM4GCAnBuiPnLlkxxIjcoP4qUTr75wQ++xyUGjRAxbmlrHWGA+6JaXECEySV2nsS5bXKzH28CBI.j.p2cPgOMhNDL0xAzOZfJgWefZkAEVtKhg93vjYCf1sxH0mxf.itosQJslTzxWudvg5wUAkYkaRt2HsfIYzWa3fHX5Cm.Q1C4Y4PQWslSKIr.mspnwXPARlAWtvLIoDKT3GJ6hp4z8.MlB5VdA3ULEIcBW9BSmw.9ZXcjB7FCGpfLa0AAC2RnO8AxX2DQPxnpFmFREk+z5.Dz3xtAicLp+5rcu5NeiVgGCKVAtY13E5jZCg.s2g87LIJq+5L.Injtotax4J8niuCxVd+aPpvFkTpSyXb5wLA0A0ZCslpW4GNmax5H.TBnYV1maeCGxIs8r3YgkEj4.03io6M4D1LxF6fpgbzLT3eeThlkBpBq1ocMiZWf1MfTfW22ADl3lRnUSQIwS6sMi8Psy7.gA3vQ9Czu6AnUg+.6gWCbhKtGfNxvq79pkUCHKyrwpmSy38SP7JpKFUyrgnAK8ChIm5Ee3pcR.YAlI.v+Eb.lSZwUzbKdJQ.qL5P9oAHP15j0fUxPOCzJzJzBMX6Z4nSqXvvSsvLdd+RGSMHHrjgTaXPaJTxI4nDEkYb3pa9.Fdd.4uerLjLHQdtZz4MXpaOCktBJVCwPu.UAYo.LDdOfn8fAZ2oWmDKvLHet1zgxgEX1Gdvi3bylJ9zYPugQbJzkXiWPDyIsapwDvuLUW63HjDaH9JEQU5vNlDAukWhCWIijCiadFt4.DyCGoin8oUpdwHT7JyPR.7u3rcHFtFDFSxqHQ8HtlbrwMXyo.pjKHjx19TlhonQuRTjqn+S58ui22XBWNNwUD5sigtr4vchYvGxY1HAC3FrDfhSl1qKWv4sI0xbR.PKmN0CuuAP3gQqgOmc7+.0wO5rM4.XJeALlmLmxfRffqXHeWXXbDS6nzAltmRg3.FSz8xikaJxm.qKn6iTALXs8SWAwJSDZZt8Mbl2B8aeP84WdtqDn3S74JVZk5Y2PQnSFWOHqjLp8lwwUehXwNBTzzbBMTnMoLrgK5ynSQa.O..IY.vBlR1y6ZYxbCoTrg+.ijFzZ.Vc.fDjCtoZlgXNdfVnCopaLnpX9Ulx3EWgtsesSgYJyXIY9cfP44bYDyDNVCBDst2oXID7WDw2NX180G06rXvb.JVgn1XR.gXOxfxkNguYpuVNhFEr+sW+boFXkfqHSIf5xgKLEc.ApPHEhNVx1IlfMoggYfGo12yqRPflyfQcQN61efcHGr5MXX40vhZT4qIHoK3NFSIAOfTsAxeI3pJSrDT6RfQNK1JUL63C.m1UI9CZutqsIkaHYxndp08PmoEHUQFbgvk2eSSjffNCJCMoL334OF+u7AXxrZ3aGDfPDXnL5hqIoPzwC3yZ4GjcctiqvcZJ.kDzzCP3eeBmGnGtyrRsAVV0ItxTGoEi9IX9YXh0rBDyjQ.5eYgxKseWpVOZHO8HiFKqRnTHJ1QKnrfw9KMovJWVAlxgG.LC8fxziXRCtn4vEGV.eSpfQO5AtQYJfz0f6EIZrlQ.6XsiXSlPvLMqxTCmx2BEqZOrSi.q.wtLLfc3jFSJsqfHVaL8JG41xIjdfjO.vFv3b5RnTFmCTQGedWVQS.yQvmm0oS4lYRhf5Jo6nit4tP633QiNRd3JsEZMyD1.GvX4p3RBJOgC.jpvxEIMpZLjoxX5BBiW3AwFokiES.8xINjJDWX3wNxm0p6hbbgjgBrNNBn84l9SRxJgLzKOcNN9f6UXhWZEc3J0vM+vMIyaF+HS0THxiSLeBiAsYSMzKC0LF3mVLf3jA.GdDDx2T6VLQoWBfInCgxDbK0ZNEB.MSjwjaXls6TLRoZCB0Fnjcz5B7YKCNB32usbi1WTtwEBTQGrBY7v.djo3YS3NghCymzK9IpKkBGTA3OcndKA5109axLygoHnsWvJHiLc0MPODFKB8rdZ6llPW.gdfJFHLKiAxCXtFry.e9brumqYDs7.tTijapYgJspzo+NR+2vQOlL.1ngcbLr3hnOnxPE7Xa5HNDF1xJPXgv21ad7TdVfgeDOECq4cBWSJliPTnI598ghA71mAFLjYOSMaUftCzYKDUo.03lwBqEtXgqQRMiZmlAuAniXHR78haRBZPkE8Ay+7Z4lcKhjFYEA7LbzMvygllLHU7u.CiE4CMBQtRusylX7Hqy0AoyhJp1bVRyTYNNVC94MHcg16SGeglsgIILza.SdJonFhnxwsjJ4a7EH4xWchkxmQE3ag12IuR2JWD7sRuC8wELFFxNwsVWXT3sXDGQ5xm4ak2Dhv+olO38gJpeaVmiMmA4EJabjyd61.7itGYh.RKFvczrs0sdEavYVk9Ir8eqRd.HdRw0RFMJpRRq5Vuff3QsAmwzBIq31uCGnVrnCA8fQNp21pSgtT0Jwzj.gHcqqhkVzqmwyXOma+ClntiMBUYztUsX6li2.4gFrHw3VKL32JCGmDjzzf9hdqvlmVvuBJebwjNeqVDCYqqRfC.YYF7ma6yQ8MSPhiXg8VooAlctfFhN0Kg0s01iXVYBTnVguwJ2J.pv0UnusYz1Olzta40W9cXbIf41ox62J2llvHsRFpdhTCp21guz6.azBQUiLOzF25y6DuBTyZ.g9sFSR5cnJwjhNsdX1W25mCoCQuxJm9y2u0aO.QLdQoEu2ZwUzkCvLSEUfsOtUJWKgHNvfEwotYorwrPOQiVv87XdaPbOr7CuDBi10nPFyae4aRNdnBnGs0s+1.xGlvO6g5OeamjzwiBzfDR0S5Vq7UvFAHfgG57QHFR29ldxmDIZD.tkaarWxPOVA+TLINi1sdNBBDBO3fPAptxstME2PXoolvn4sd8Xj.h+kg9RtUr1DSiB58WiwoKyrqeqOzxlu9yhTKAUpeqKN.Ve3lZExPljGucK0IpPUD1WZGM2EvnBBkGlYZCJS+VmJMUXntAapcawNE8zD7D.yUCG2cq8Nl3f.J5LT+5POg3b6FLYtYkM0TN.L5s5SlgqZA0XvnJrt8aQZtH3HMKO34MGURDJJrdCdGu04kMlmuUfETtMu81YD86EJJIGDec9VOKCldJAixGDPQ9V22nPZFQ.YkU8V6DVTCgDn5g5khZScqWOXdWbaSWtG2lGra3IcPOIrOPkIM+VWAm.xdksYAcT5VudvolnlYPWl80s8.KOD8PfgQ9Tgx0ucqMP1p.dUVXtURXIZILyykxGPwntF2p7PCZ0.hQ0PMSJ2prnqOm1TCLVP3gF2JdNYuJQJjgCDPKPt8WcAFRYRCgRdt0I++DySC7Nx7wJ2ZlPZsVmMAaUD5Q4VkUpX.EBILlJcCYHOuceTLfpsSRMAJowsu+uByMo.vAno8RciWO3bdLdTNM4j25FLjzTH1wfYhOR4a+8WH0N5..4kju82KTOm.IDcL1bqGQKrDFBuGu8t0bIiPbqvB7PcsHDxuw97Zd9W8W87q3e4K8Qdqq+jO9h25e9a9V2+hG8jKdqW9O7ac98t9xe04We4UOhOxm8m9jO57328ymmzid5Cdva+E76ldiMog8V+5Kt7W7QW+jW4ek+M+1nDGTzLksQEI+gwJ90TmF632cjiTUYVTaW7sNZu1HkGcWqiCXkhpze7ZTYKgUHHOYcTGQX40WeWyHpMCkeECPBCG6qmKcBIqAjiHeYLuNi4qOlOZF33+.cCbIq3u1VjIYbfXehgq930FBoitWFEcmYlalVu1tvL9tLUvY.eJAX7Z6JOwTGqwAVdlu9jXmdVNcmJvjPqlFiWi.HfIrBwfPKDLfLu1txUlmT4vtyfspv+ecsHCM7VPW0BcX601g5.xanvgS3.SFjwWaqD.BkL8zSgHCXhxu1txvVuJRvIPmuwVjWemQX.2Cpperzs9quiHiArYyDYZJvEvq65WFUeE10gZFP.xJzou3wQ7Fm95+p+n23M9m8O6+h27C99+j2+m9m8C9Q+z+adye7O8688+Qu4e7qq+8Fuw8t5QO4527Wc9ieyq+v27O9M+9O5Wb4it3ct2iu37qu3mbwSe74O3mbw0+5qd7u7a9VefBd4pG+CdvU+5a9Vu0e3ejtCu9CemGb042+4+ze7U2+hG7M+w+nGx+6en9De3Sez8H7l27pG8St55K9oO5a9G9F+kuw23Mzy4m8G8ge3q7m8cu5QW+3qdvCt3wuxe7Gb4CukexM+heyG8zG9yu3wusdPevSu3S+fmcmux2+9Wd8UO98uVOtO4r6b2uyU2+Sd+O5pe8iN6Ne46lN6mc4St7m+fKN8Eu+UO3J9uNNSKZWewit9E9fW8ne3it75e5GewMe8Ye2O5xGb+26wWcuKdhVVdxY56b5W5L8At4tR+WDX3Y24+r69926wW9wW+9O3x6ewiO6x6e1c9Z28G9nO9oWeVbCe1c9Fekyd1+9B7K+0u6O8oW++K9s+9O5bdp+L+1+se6y9W9C+dme845Q3N27znmvO9hGe8kr3cmu2E+pKu2EePbc+F286cwS9kWe0GGOtO7iu5Q7remeW6C7u44+A+W+texy+hKe2Gd48u+Ct38t5IWxK2m+Sx+0O45K932+x+cO6d8+w+C+G9e4a+vKegOx+5+5Gd9u4EWGdxS+vO7R8ct6cey6+cNicpmtku2k+7KdvYe7ydu8C0M1u6M2qu4O3eU5rO97Ge9Cu35Kt4mD2x+nK9U524ruPOke5alme27tO8+O9i4u2M2ye9myuleOzKb67nW347u9wu6m4oI1f8E7N5Mt4p+m8Amc1mdFSGlOs062+txBzSev45b828iNWqO+vuGey+T8edyOf00uym7wm+jmbgtZ24K+CYurVu+jW7d4NeoW11vW91sMb7B1FdEm7+BdK9O9tu2kWeuO5UeO9kdE2i5b3eebO9kOcO96c2u+G9gWbuqe9M3W4t+f+Uuz51qs+724Ne90n23lW+5uI+weocCu3Mwou8Y24e+cetg+O9wWnMLW7AW8dO37O4a9jye3GqMK5d7seye9Ct5d+R11848VbyluuCehu489nyezit3AO42FmJe0uvqJo8uT9yt5oWe4i9E+3yu9wwo3exSe36e0Se78t36dycm9d24KgU8Se8AeM6Kd+Kdz8iu3+a8ua9gI956byOL8re3ycKc1Md0iWG27eqCxmV6+dO4ie125mcwieRXX5qcWEH06bb1exCjSerJb4Maa0Kk368dW8fO4i+nqdzk2iu0oOwyt0+Sd3UOESHmt++Wb9S9fyu7ArO+8e5SjWz6+Sez6qO7it2E78d9Qhuyyd88rmz67k9IgUsu1O376o07O48N+5OhiR3hV6au3wuy89z8uuziwy2Bwh+OQFW9Le.di8dOypySN81h+VeW8F6oO9Y+80S0CCageo6pOB+bV+9Jmto9p7W8qd2eA2.uz82uit+d7EuS7CdU2H276X9y8kdgaO8a+oekVM9wW9ne1Iu2e869sRG7Z5Ge9u4lu0c4E2Yu+mZ+8excOgTF9WHBRot1X9Ku3We5d9r67Gb216TClXFYgtBf8O6ziFFUO6O4oWe0C0d86eZQ56cwGd9Sev0m9iIKKuxaqS2CO+d5qeWtC961sEe.ZCcQe.nUz03HE2W+N288e3UWc8GoyNmcy0+qd2LW8W5d6Yeyy9G9Ute269mcwSt3l6iW5h+x2gm9dm8BgYc1Yuvdqeu69jq9vq+K94wVnWdK1+4uvQfW7C8p1t8xWF2l7W7lQ6AO8UxszWh6n+QOeomnxe1y1WQqze5iwy9rJ9om7y3Jcuyevy9fxbvyNDcmW3A8qe2GEIi7xOi+d2Ua69n24lezq5I6S+8rGkdwGp67YtQ+Z2Mxo4Y2i+A28ykJzKrG5Im8Y9hW3w3qEmqS+cyXvy9k9OYM3+j0fsVC9F28I+pO7u3h+s4Wd+0u+c+vKe.aKdmS+3WJ5oSawd9u4eWN7GoB7fK9MOKmvevo+LO++jiOO59W7adVvFeeEuz8u+E2O9EdV.Huz11u5Kr3+FOew+YQ7Ve2mu5ey26e+ey699etLIN6kV1iu669e2C+e6aeZ6vO3wW7u8oJ1hO4rO3hey0evUwETwA8qzCF+gewOw6c9u3h3Q+8e5O+O8wW8zON9hO8V3+0+u9e5O7q+W8+769xumdVlc+O7tms444cKk+lu8m444u9+3+w+oewddN6e5+m+uGOOe469e8s9b7uTq9enbAbe2ywyR54U9bPl+6euj+q+buWNK+E74fK+KX930zixYm8peTdYSPuhGkyN6y+n729s+B8n7e6ev26u4a+Ys375344c++3e2+8upWMw2+2hmme+WwqF8Lt4UC9+966cYu1d0r6Q4abSoCt++Pdl4y4P9lnedd0i96e+LV2JQM8dzEQRtO4rW5KuIKKJ8xMYl7duX4Xt4j6Ye1mvWtvQ++adDeV7Vtmw6xy3KTJpaObl6d2j9ZyFGRmd0meAuIe4P1euWt5XepC9y1FV6sD+824pq9kO77nP.+VUv2+AorEO77683q9Kt2oJwvC2WO9N5b1itIhleLe8al970.+gWd+K+Kt28d4K0m6WL+a6uX421ew5us+hsea+E6+19KN9s8Wb5+E+w5quIGB1xKi9u22+T.i24YltUbqm8+C.LR8hi
                            

                            ...it still spikes on load.

                            Christoph HartC 1 Reply Last reply Reply Quote 0
                            • Christoph HartC
                              Christoph Hart @tomekslesicki
                              last edited by

                              @tomekslesicki Alright, thanks I missed that, now I can reproduce it.

                              The easiest solution is to just warmup the network whenever the reset call was made - it then just processes a bunch of silent samples and throws away the result. I'm not sure why it creates the spike in the first place and usually the convention of calling reset() just before processing the audio signal should work here too, but this will definitely remove the necessity for high pass filtering the values.

                              I can imagine that the amount of samples necessary depends on the network so I made it a dynamic preprocessor constant. Just add

                              HISE_NEURAL_NETWORK_WARMUP_TIME=2048
                              

                              to your ExtraDefinitions field and click save (no need to recompile, HISE will reload that value and use it dynamically. In the compiled plugin it will be a compile time constant).

                              Note that there are a few situations where the reset() call can be made in the audio thread - eg. when using it polyphonically and starting a new voice, so if you try to outsmart the system by adding

                              HISE_NEURAL_NETWORK_WARMUP_TIME=10000000000
                              

                              you'll blow up your audio callback.

                              Dan KorneffD 1 Reply Last reply Reply Quote 1
                              • Dan KorneffD
                                Dan Korneff @Christoph Hart
                                last edited by

                                @Christoph-Hart you might want to consider adding a HPF as well. Many models contain a DC offset and filters are built into the NAM player for this reason.

                                Dan Korneff - Producer / Mixer / Audio Nerd

                                1 Reply Last reply Reply Quote 1
                                • T
                                  tomekslesicki
                                  last edited by

                                  @Christoph-Hart thanks, I'll test this later today! If I'll hard enable it when building HISE, I should be able to test the results while working on the network, right?

                                  I also agree with @Dan-Korneff , a high switchable high pass to remove the DC offset would be a fantastic addition

                                  Christoph HartC 1 Reply Last reply Reply Quote 0
                                  • Christoph HartC
                                    Christoph Hart @tomekslesicki
                                    last edited by

                                    @tomekslesicki It's a dynamic preprocessor which will fetch the value from the extra definition field while working in HISE so you don't have to recompile HISE anymore - just change the definition, hit save in the settings dialog and toggle the script fx bypass to hear the change.

                                    T 1 Reply Last reply Reply Quote 0
                                    • T
                                      tomekslesicki @Christoph Hart
                                      last edited by

                                      @Christoph-Hart yes, I understand, I thought it would be easier to test in scriptnode if I compiled it with this defined, but I see it's more flexible the other way around, I should stop posting at 4AM! Could you please add a switchable 5hz HPF to filter out the DC offset, too?

                                      Christoph HartC 1 Reply Last reply Reply Quote 0
                                      • Christoph HartC
                                        Christoph Hart @tomekslesicki
                                        last edited by

                                        @Dan-Korneff can you upload the changes (or make a pull request) with the 5Hz cutoff stuff, then I‘ll merge it.

                                        Dan KorneffD 2 Replies Last reply Reply Quote 1
                                        • Dan KorneffD
                                          Dan Korneff @Christoph Hart
                                          last edited by

                                          @Christoph-Hart 🤟 I make a PR today. Also have a fix for the bypass being ignored.

                                          Dan Korneff - Producer / Mixer / Audio Nerd

                                          1 Reply Last reply Reply Quote 1
                                          • Dan KorneffD
                                            Dan Korneff @Christoph Hart
                                            last edited by

                                            @Christoph-Hart https://github.com/christophhart/HISE/pull/787

                                            Dan Korneff - Producer / Mixer / Audio Nerd

                                            1 Reply Last reply Reply Quote 0
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